default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHitoshi Iba
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c157]João Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Sara Silva:
Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. CEC 2024: 1-8- [c156]Zhen Liu, Jinglue Xu, Hitoshi Iba:
Genetic Algorithm-Based Robot Path Planning with the Extraction of Topological Map. CEC 2024: 1-10 - [c155]Yossathorn Tianrungroj, Hitoshi Iba:
ROIL: Rule Optimization via Large Language Model for Imitation Learning. CEC 2024: 1-8 - [c154]Jinyu Cai
, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei:
Exploring the Improvement of Evolutionary Computation via Large Language Models. GECCO Companion 2024: 83-84 - [c153]Kazuaki Harada, Hitoshi Iba:
Lamarckian Co-design of Soft Robots via Transfer Learning. GECCO 2024 - [i5]Jinyu Cai, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei:
Exploring the Improvement of Evolutionary Computation via Large Language Models. CoRR abs/2405.02876 (2024) - [i4]Jinglue Xu, Jialong Li, Zhen Liu, Nagar Anthel Venkatesh Suryanarayanan, Guoyuan Zhou, Jia Guo, Hitoshi Iba, Kenji Tei:
Large Language Models Synergize with Automated Machine Learning. CoRR abs/2405.03727 (2024) - [i3]Yusei Ishimizu, Jialong Li, Jinglue Xu, Jinyu Cai, Hitoshi Iba, Kenji Tei:
Automatic Adaptation Rule Optimization via Large Language Models. CoRR abs/2407.02203 (2024) - 2023
- [c152]Rikitaka Kinoyama, Nagar Anthel Venkatesh Suryanarayanan, Hitoshi Iba:
Continual Learning of LSTM Using Ant Colony Optimization. CEC 2023: 1-8 - [c151]Jinglue Xu, Suryanarayanan N. A. V., Hitoshi Iba:
MPENAS: Multi-fidelity Predictor-guided Evolutionary Neural Architecture Search with Zero-cost Proxies. GECCO 2023: 1276-1285 - [c150]Takuki Kurokawa, Hitoshi Iba:
Research on Atari Games using Evolutionary Computation with Successive Halving. IIAI-AAI 2023: 349-354 - [c149]Shunsuke Katayama, Adam Kotaro Pindur, Hitoshi Iba:
GA-based Co-Design Algorithm with Successive Halving. IIAI-AAI 2023: 430-437 - [c148]Masayuki Fujita, Hitoshi Iba:
CT Reconstruction from X-ray Videos with Conditional GAN Image Translation. IIAI-AAI 2023: 496-501 - [c147]Zhen Liu, Jinglue Xu, Hitoshi Iba:
Lion Swarm Optimization for Base Station Placement. IIAI-AAI 2023: 522-529 - [c146]Haruka Kobayashi, Adam Kotaro Pindur, Suryanarayanan Nagar Anthel Venkatesh, Hitoshi Iba:
Image Generation with Diffusion Model by Interactive Evolutionary Computation. SMC 2023: 2984-2990 - 2022
- [j36]Edgar Ademir Morales-Perez, Hitoshi Iba:
Deep Learning-Based Inverse Modeling for Predictive Control. IEEE Control. Syst. Lett. 6: 956-961 (2022) - [c145]Edgar Ademir Morales-Perez, Hitoshi Iba:
Evolutionary Optimization of Multi-step Dynamic Systems Learning. ICMRE 2022: 152-156 - [c144]Yossathorn Tianrungroj, Hitoshi Iba:
Isometric Convolutional Neural Networks for Bone Suppression of Multi-Planar Dual Energy Chest Radiograph. IIAI-AAI 2022: 409-415 - 2021
- [j35]Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera:
Evolving Architectures With Gradient Misalignment Toward Low Adversarial Transferability. IEEE Access 9: 164379-164393 (2021) - [c143]Lushen Liao, Adam Kotaro Pindur, Hitoshi Iba:
Genetic Programming with Random Binary Decomposition for Multi-Class Classification Problems. CEC 2021: 564-571 - [c142]Edgar Ademir Morales-Perez, Hitoshi Iba:
LSTM Neural Network-based Predictive Control for a Robotic Manipulator. ISEEIE 2021: 128-135 - [i2]Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera:
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability. CoRR abs/2109.05919 (2021) - 2020
- [c141]Adam Kotaro Pindur, Hitoshi Iba:
Behavioral Locality in Genetic Programming. IJCCI 2020: 81-91 - [c140]Edgar Ademir Morales-Perez, Hitoshi Iba:
Inverse Model Optimization by Differential Evolution to improve Neural Predictive Control. SCIS/ISIS 2020: 1-8 - [c139]Adam Kotaro Pindur, Takahiro Horiba, Hitoshi Iba:
Parametric Genetic Programming. SCIS/ISIS 2020: 1-7 - [c138]Kevin Richard G. Operiano, Hitoshi Iba, Wanchalerm Pora:
Neuroevolution Architecture Backbone for X-ray Object Detection. SSCI 2020: 2296-2303 - [p4]Hitoshi Iba:
Evolutionary Computation and Meta-heuristics. Deep Neural Evolution 2020: 3-33 - [p3]Ryotaro Tsukada, Lekang Zou, Hitoshi Iba:
Evolving Deep Neural Networks for X-ray Based Detection of Dangerous Objects. Deep Neural Evolution 2020: 325-355 - [e2]Hitoshi Iba, Nasimul Noman:
Deep Neural Evolution - Deep Learning with Evolutionary Computation. Natural Computing Series, Springer 2020, ISBN 978-981-15-3684-7 [contents]
2010 – 2019
- 2019
- [c137]N. A. V. Suryanarayanan, Hitoshi Iba:
Diversifying experiences in multi agent reinforcement learning. IWCIA 2019: 47-52 - [c136]Naoyuki Kawabata, Hitoshi Iba:
Evolving Humanoid Robot Motions Based on Gene Regulatory Network. ICARM 2019: 67-74 - 2018
- [b1]Hitoshi Iba:
Evolutionary Approach to Machine Learning and Deep Neural Networks - Neuro-Evolution and Gene Regulatory Networks. Springer 2018, ISBN 978-981-13-0199-5, pp. 1-245 - [c135]Ysmaldo Landaez, Hiroshi Dohi, Hitoshi Iba:
Swarm Intelligence for Object Retrieval Applying Cooperative Transportation in Unknown Environments. ICRAI 2018: 62-69 - [c134]Hitoshi Iba, Ji Feng, Hossein Izadi Rad:
GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine. SMC 2018: 255-262 - [c133]Naotake Masuda, Hitoshi Iba:
Musical Composition by Interactive Evolutionary Computation and Latent Space Modeling. SMC 2018: 2792-2797 - [i1]Hossein Izadi Rad, Ji Feng, Hitoshi Iba:
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine. CoRR abs/1806.02502 (2018) - 2017
- [c132]Satish Kumar Jaiswal, Hitoshi Iba:
Coevolution of mapping functions for linear SVM. CEC 2017: 2225-2232 - 2016
- [c131]Changhee Han, Kenji Tsuge, Hitoshi Iba:
Optimization of artificial operon construction by consultation algorithms utilizing LCS. CEC 2016: 4273-4280 - [c130]Hiroshi Kera, Hitoshi Iba:
Vanishing ideal genetic programming. CEC 2016: 5018-5025 - 2015
- [j34]Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, Hitoshi Iba:
Improved sampling using loopy belief propagation for probabilistic model building genetic programming. Swarm Evol. Comput. 23: 1-10 (2015) - [j33]Quang Huy Dinh, Nathanael Aubert, Nasimul Noman, Teruo Fujii, Yannick Rondelez, Hitoshi Iba:
An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems. IEEE Trans. Evol. Comput. 19(3): 374-386 (2015) - [c129]Annica Ivert, Claus de Castro Aranha, Hitoshi Iba:
Feature selection and classification using ensembles of genetic programs and within-class and between-class permutations. CEC 2015: 1121-1128 - [c128]Yuki Naruse, Hiroyuki Hamada, Taizo Hanai, Hitoshi Iba:
Evolutionary design of oscillatory genetic networks in silico. CEC 2015: 1596-1603 - [c127]Marco S. Nobile, Hitoshi Iba:
A double swarm methodology for parameter estimation in oscillating Gene Regulatory Networks. CEC 2015: 2376-2383 - 2014
- [j32]Quang Huy Dinh, Nasimul Noman, Hitoshi Iba:
Oscillatory Synthetic biological System Construction using Interactive Evolutionary Computations. J. Comput. Sci. 10(12): 2640-2652 (2014) - [c126]Mohammad A. Eita, Amin A. Shoukry, Hitoshi Iba:
Constrained Group Counseling Optimization. ALIFE 2014: 631-638 - [c125]Mari Nishiyama, Hitoshi Iba:
Applying conversion matrix to robots for imitating motion using genetic algorithms. IEEE Congress on Evolutionary Computation 2014: 938-944 - 2013
- [j31]Nasimul Noman, Leon Palafox, Hitoshi Iba:
Evolving Genetic Networks for Synthetic Biology. New Gener. Comput. 31(2): 71-88 (2013) - [j30]Leon Palafox, Nasimul Noman, Hitoshi Iba:
Reverse Engineering of Gene Regulatory Networks Using Dissipative Particle Swarm Optimization. IEEE Trans. Evol. Comput. 17(4): 577-587 (2013) - [c124]Leon Palafox, Nasimul Noman, Hitoshi Iba:
Extending Population Based Incremental Learning using Dirichlet Processes. IEEE Congress on Evolutionary Computation 2013: 1686-1693 - [c123]Dhammika S. Hettiarachchi, Nasimul Noman, Hitoshi Iba:
Messy Genetic Algorithm for evolving mathematical function evaluating variable length gene regulatory networks. IEEE Congress on Evolutionary Computation 2013: 2154-2161 - [c122]Hiroyuki Sato, Danushka Bollegala, Yoshihiko Hasegawa, Hitoshi Iba:
Learning non-linear ranking functions for web search using probabilistic model building GP. IEEE Congress on Evolutionary Computation 2013: 3371-3378 - [c121]Nathanael Aubert, Quang Huy Dinh, Masami Hagiya, Hitoshi Iba, Teruo Fujii, Nicolas Bredèche, Yannick Rondelez:
Evolution of Cheating DNA-based Agents Playing the Game of Rock-Paper-Scissors. ECAL 2013: 1143-1150 - [c120]Hiroshi Dohi, Hitoshi Iba, Mitsuru Ishizuka:
Your Own Facial Parameter Generation for a 3D Avatar Interface Using an MRI Medical Image. HCI (29) 2013: 577-581 - 2012
- [j29]Alex Fukunaga, Hideru Hiruma, Kazuki Komiya, Hitoshi Iba:
Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control. Genet. Program. Evolvable Mach. 13(2): 239-263 (2012) - [j28]Claus de Castro Aranha, Carlos R. B. Azevedo, Hitoshi Iba:
Money in trees: How memes, trees, and isolation can optimize financial portfolios. Inf. Sci. 182(1): 184-198 (2012) - [c119]Leon Palafox, Hitoshi Iba:
On the use of Population Based Incremental Learning to do Reverse Engineering on Gene Regulatory Networks. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c118]Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, Hitoshi Iba:
Probabilistic model building GP with Belief propagation. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c117]Vishal Soam, Leon Palafox, Hitoshi Iba:
Multi-objective portfolio optimization and rebalancing using genetic algorithms with local search. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c116]Kazuki Komiya, Nasimul Noman, Hitoshi Iba:
The search for robust topologies of oscillatory gene regulatory networks by evolutionary computation. GECCO (Companion) 2012: 1419-1420 - [c115]Leon Palafox, Hitoshi Iba:
Gene regulatory network reverse engineering using population based incremental learning and K-means. GECCO (Companion) 2012: 1423-1424 - [c114]Nasimul Noman, Leon Palafox, Hitoshi Iba:
On Model Selection Criteria in Reverse Engineering Gene Networks Using RNN Model. ICHIT (1) 2012: 155-164 - [c113]Chaogang He, Nasimul Noman, Hitoshi Iba:
An Improved Artificial Bee Colony Algorithm with Non-separable Operator. ICHIT (1) 2012: 203-210 - 2011
- [j27]Nasimul Noman, Hitoshi Iba:
? constrained differential evolution for economic dispatch with valve-point effect. Int. J. Bio Inspired Comput. 3(6): 346-357 (2011) - [j26]Akio Watanabe, Hitoshi Iba:
Creating singing vocal expressions by means of interactive evolutionary computation. Int. J. Knowl. Eng. Soft Data Paradigms 3(1): 40-56 (2011) - [j25]Shu Liu, Hitoshi Iba:
A Study on Computational Efficiency and Plasticity in Baldwinian Learning. J. Adv. Comput. Intell. Intell. Informatics 15(9): 1300-1309 (2011) - [c112]Hideru Hiruma, Alex Fukunaga, Kazuki Komiya, Hitoshi Iba:
Evolving an effective robot tour guide. IEEE Congress on Evolutionary Computation 2011: 137-144 - [c111]Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
An adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2011: 2229-2236 - [c110]Nasimul Noman, Hitoshi Iba:
Solving dynamic economic dispatch problems using cellular differential evolution. IEEE Congress on Evolutionary Computation 2011: 2633-2640 - [c109]Badarch Tserenchimed, Shu Liu, Hitoshi Iba:
A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timing. GECCO (Companion) 2011: 139-140 - [c108]Shu Liu, Hitoshi Iba:
Imitation tendencies of local search schemes in baldwinian evolution. GECCO 2011: 553-560 - [c107]Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
Differential evolution with self adaptive local search. GECCO 2011: 1099-1106 - [c106]Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba:
Polynomial selection scheme with dynamic parameter estimation in cellular genetic algorithm. GECCO 2011: 1171-1178 - [c105]Danushka Bollegala, Nasimul Noman, Hitoshi Iba:
RankDE: learning a ranking function for information retrieval using differential evolution. GECCO 2011: 1771-1778 - 2010
- [j24]Mitra Kabir, Nasimul Noman, Hitoshi Iba:
Reverse engineering gene regulatory network from microarray data using linear time-variant model. BMC Bioinform. 11(S-1): 56 (2010) - [c104]Nasimul Noman, Hitoshi Iba:
Cellular Differential Evolution Algorithm. Australasian Conference on Artificial Intelligence 2010: 293-302 - [c103]Hiroyuki Ishiwata, Nasimul Noman, Hitoshi Iba:
Emergence of Cooperation in a Bio-inspired Multi-agent System. Australasian Conference on Artificial Intelligence 2010: 364-374 - [c102]Makoto Tanji, Hitoshi Iba:
ConBreO: a music performance rendering system using hybrid approach of IEC and automated evolution. GECCO 2010: 1275-1282 - [c101]Nasimul Noman, Jiradej Vatanutanon, Hitoshi Iba:
Tuning selection pressure in differential evolution using local selection. NaBIC 2010: 66-71 - [c100]Dhammika S. Hettiarachchi, Hitoshi Iba:
Evolution of a yoga performing humanoid. NaBIC 2010: 78-83 - [c99]Shu Liu, Hitoshi Iba:
A study on the computational efficiency of Baldwinian evolution. NaBIC 2010: 467-472 - [c98]Jiradej Vatanutanon, Nasimul Noman, Hitoshi Iba:
Polynomial Selection: A new way to tune selective pressure. NaBIC 2010: 597-602
2000 – 2009
- 2009
- [j23]Claus de Castro Aranha, Hitoshi Iba:
The Memetic Tree-based Genetic Algorithm and its application to Portfolio Optimization. Memetic Comput. 1(2): 139-151 (2009) - [j22]Topon Kumar Paul, Hitoshi Iba:
Prediction of Cancer Class with Majority Voting Genetic Programming Classifier Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 6(2): 353-367 (2009) - [j21]Yoshihiko Hasegawa, Hitoshi Iba:
Latent Variable Model for Estimation of Distribution Algorithm Based on a Probabilistic Context-Free Grammar. IEEE Trans. Evol. Comput. 13(4): 858-878 (2009) - [c97]Makoto Tanji, Hitoshi Iba:
Program optimization by random tree sampling. GECCO 2009: 1131-1138 - [c96]Toshihiko Yanase, Yoshihiko Hasegawa, Hitoshi Iba:
Binary encoding for prototype tree of probabilistic model building GP. GECCO 2009: 1147-1154 - [c95]Claus de Castro Aranha, Hitoshi Iba:
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios. GECCO 2009: 1427-1434 - [c94]Akinori Hirabayashi, Claus de Castro Aranha, Hitoshi Iba:
Optimization of the trading rule in foreign exchange using genetic algorithm. GECCO 2009: 1529-1536 - 2008
- [j20]Hitoshi Iba:
Inference of differential equation models by genetic programming. Inf. Sci. 178(23): 4453-4468 (2008) - [j19]Nasimul Noman, Hitoshi Iba:
Accelerating Differential Evolution Using an Adaptive Local Search. IEEE Trans. Evol. Comput. 12(1): 107-125 (2008) - [j18]Yoshihiko Hasegawa, Hitoshi Iba:
A Bayesian Network Approach to Program Generation. IEEE Trans. Evol. Comput. 12(6): 750-764 (2008) - [c93]Makoto Tanji, Daichi Ando, Hitoshi Iba:
Improving Metrical Grammar with Grammar Expansion. Australasian Conference on Artificial Intelligence 2008: 180-191 - [c92]Claus de Castro Aranha, Hitoshi Iba:
Application of a Memetic Algorithm to the Portfolio Optimization Problem. Australasian Conference on Artificial Intelligence 2008: 512-521 - [c91]Claus de Castro Aranha, Hitoshi Iba:
A tree-based GA representation for the portfolio optimization problem. GECCO 2008: 873-880 - [c90]Toshihiko Yanase, Hitoshi Iba:
Evolutionary Multi-Objective Optimization for Biped Walking. SEAL 2008: 635-644 - 2007
- [j17]Yutaka Inoue, Takahiro Tohge, Hitoshi Iba:
Cooperative transportation system for humanoid robots using simulation-based learning. Appl. Soft Comput. 7(1): 115-125 (2007) - [j16]Nasimul Noman, Hitoshi Iba:
Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics. IEEE ACM Trans. Comput. Biol. Bioinform. 4(4): 634-647 (2007) - [c89]Claus de Castro Aranha, Hitoshi Iba:
Modelling cost into a genetic algorithm-based portfolio optimization system by seeding and objective sharing. IEEE Congress on Evolutionary Computation 2007: 196-203 - [c88]Yoshihiko Hasegawa, Hitoshi Iba:
Estimation of distribution algorithm based on probabilistic grammar with latent annotations. IEEE Congress on Evolutionary Computation 2007: 1043-1050 - [c87]Daichi Ando, Hitoshi Iba:
Interactive composition aid system by means of tree representation of musical phrase. IEEE Congress on Evolutionary Computation 2007: 4258-4265 - [c86]Daichi Ando, Palle Dahlstedt, Mats G. Nordahl, Hitoshi Iba:
Interactive GP with Tree Representation of Classical Music Pieces. EvoWorkshops 2007: 577-584 - [p2]Nasimul Noman, Hitoshi Iba:
Inferring Regulations in a Genomic Network from Gene Expression Profiles. Analysis of Biological Data: A Soft Computing Approach 2007: 205-229 - 2006
- [c85]Yoshihiko Hasegawa, Hitoshi Iba:
Optimizing Programs with Estimation of Bayesian Network. IEEE Congress on Evolutionary Computation 2006: 1378-1385 - [c84]Takahiro Tohge, Kenta Shimada, Hitoshi Iba:
Evolutionary Morphology for Real Cubic Modular Robots. IEEE Congress on Evolutionary Computation 2006: 1995-2001 - [c83]Topon Kumar Paul, Yoshihiko Hasegawa, Hitoshi Iba:
Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier. IEEE Congress on Evolutionary Computation 2006: 2521-2528 - [c82]Nasimul Noman, Hitoshi Iba:
On the Reconstruction of Gene Regulatory Networks from Noisy Expression Profiles. IEEE Congress on Evolutionary Computation 2006: 2543-2550 - [c81]Topon Kumar Paul, Hitoshi Iba:
Classification of Scleroderma and Normal Biopsy Data and Identification of Possible Biomarkers of the Disease. CIBCB 2006: 1-6 - [c80]Nasimul Noman, Hitoshi Iba:
Inference of genetic networks using S-system: information criteria for model selection. GECCO 2006: 263-270 - [c79]Topon Kumar Paul, Hitoshi Iba:
Identification of weak motifs in multiple biological sequences using genetic algorithm. GECCO 2006: 271-278 - [c78]Nasimul Noman, Hitoshi Iba:
A new generation alternation model for differential evolution. GECCO 2006: 1265-1272 - [c77]Toshihiko Yanase, Hitoshi Iba:
Evolutionary motion design for humanoid robots. GECCO 2006: 1825-1832 - [c76]Shotaro Kamio, Hitoshi Iba:
Object Transportation Using Two Humanoid Robots Based on Multi-agent Path Planning Algorithm. IAS 2006: 318-325 - [c75]Daichi Ando, Palle Dahlstedt, Mats G. Nordahl, Hitoshi Iba:
Computer Aided Composition by Means of Interactive GP. ICMC 2006 - [c74]Shotaro Kamio, Hitoshi Iba:
Cooperative Object Transport with Humanoid Robots using RRT Path Planning and Re-Planning. IROS 2006: 2608-2613 - [c73]Shotaro Kamio, Hitoshi Iba:
Search Algorithm of the Order of Object Transportation by Multiple Robots. IROS 2006: 4097-4102 - [c72]Deniz Aydemir, Hitoshi Iba:
Evolutionary Behavior Acquisition for Humanoid Robots. PPSN 2006: 651-660 - [p1]Kohsuke Yanai, Hitoshi Iba:
Estimation of Distribution Programming: EDA-based Approach to Program Generation. Towards a New Evolutionary Computation 2006: 103-122 - [e1]Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen, Xin Yao:
Simulated Evolution and Learning, 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings. Lecture Notes in Computer Science 4247, Springer 2006, ISBN 3-540-47331-9 [contents] - 2005
- [j15]Hideyuki Takagi, Hitoshi Iba:
Interactive Evolutionary Computation. New Gener. Comput. 23(2): 113-114 (2005) - [j14]Shotaro Kamio, Hitoshi Iba:
Adaptation technique for integrating genetic programming and reinforcement learning for real robots. IEEE Trans. Evol. Comput. 9(3): 318-333 (2005) - [c71]Nasimul Noman, Hitoshi Iba:
Inference of gene regulatory networks using s-system and differential evolution. GECCO 2005: 439-446 - [c70]Topon Kumar Paul, Hitoshi Iba:
Extraction of informative genes from microarray data. GECCO 2005: 453-460 - [c69]Nasimul Noman, Hitoshi Iba:
Enhancing differential evolution performance with local search for high dimensional function optimization. GECCO 2005: 967-974 - [c68]Kohsuke Yanai, Hitoshi Iba:
Probabilistic distribution models for EDA-based GP. GECCO 2005: 1775-1776 - [c67]Shotaro Kamio, Hitoshi Iba:
Random sampling algorithm for multi-agent cooperation planning. IROS 2005: 1265-1270 - 2004
- [j13]Shin Ando, Hitoshi Iba:
Classification of Gene Expression Profile Using Combinatory Method of Evolutionary Computation and Machine Learning. Genet. Program. Evolvable Mach. 5(2): 145-156 (2004) - [j12]Hitoshi Iba, Takahiro Tohge, Yutaka Inoue:
Cooperative Transportation by Humanoid Robots - Solving Piano Movers' Problem. Int. J. Hybrid Intell. Syst. 1(3-4): 189-201 (2004) - [c66]Shin Ando, Hitoshi Iba:
Real-coded GA with multimodal uniform distribution. IEEE Congress on Evolutionary Computation 2004: 827-834 - [c65]Yutaka Inoue, Takahiro Tohge, Hitoshi Iba:
Object transportation by two humanoid robots using cooperative learning. IEEE Congress on Evolutionary Computation 2004: 1201-1208 - [c64]Hongwei Liu, Hitoshi Iba:
A hierarchical approach for adaptive humanoid robot control. IEEE Congress on Evolutionary Computation 2004: 1546-1553 - [c63]Nasimul Noman, Kouichi Okada, Naoki Hosoyama, Hitoshi Iba:
Use of clustering to improve the layout of gene network for visualization. IEEE Congress on Evolutionary Computation 2004: 2068-2075 - [c62]Topon Kumar Paul, Hitoshi Iba:
Selection of the most useful subset of genes for gene expression-based classification. IEEE Congress on Evolutionary Computation 2004: 2076-2083 - [c61]Shotaro Kamio, Hitoshi Iba:
Evolutionary construction of a simulator for real robots. IEEE Congress on Evolutionary Computation 2004: 2202-2209 - [c60]Topon Kumar Paul, Hitoshi Iba:
Identification of Informative Genes for Molecular Classification Using Probabilistic Model Building Genetic Algorithm. GECCO (1) 2004: 414-425 - [c59]Yutaka Inoue, Takahiro Tohge, Hitoshi Iba:
Learning to Acquire Autonomous Behavior: Cooperation by Humanoid Robots. GECCO (1) 2004: 590-602 - [c58]Hongwei Liu, Hitoshi Iba:
Humanoid Robot Programming Based on CBR Augmented GP. GECCO (2) 2004: 708-709 - [c57]Kohsuke Yanai, Hitoshi Iba:
Program Evolution by Integrating EDP and GP. GECCO (1) 2004: 774-785 - [c56]Yoshihiko Hasegawa, Hitoshi Iba:
Multimodal Search with Immune Based Genetic Programming. ICARIS 2004: 330-341 - 2003
- [j11]Nikolay I. Nikolaev, Hitoshi Iba:
Polynomial harmonic GMDH learning networks for time series modeling. Neural Networks 16(10): 1527-1540 (2003) - [j10]Nikolay Y. Nikolaev, Hitoshi Iba:
Learning polynomial feedforward neural networks by genetic programming and backpropagation. IEEE Trans. Neural Networks 14(2): 337-350 (2003) - [c55]Shin Ando, Hitoshi Iba:
Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysis. IEEE Congress on Evolutionary Computation 2003: 207-214 - [c54]Shotaro Kamio, Hitoshi Iba:
Real-time adaptation technique to real robots: an experiment with a humanoid robot. IEEE Congress on Evolutionary Computation 2003: 506-513 - [c53]Hongwei Liu, Hitoshi Iba:
Multi-agent learning by evolutionary subsumption. IEEE Congress on Evolutionary Computation 2003: 1115-1122 - [c52]Kohsuke Yanai, Hitoshi Iba:
Estimation of distribution programming based on Bayesian network. IEEE Congress on Evolutionary Computation 2003: 1618-1625 - [c51]N. Hosoyma, Hitoshi Iba:
3-D visualization of a gene regulatory network: stochastic search for layouts. IEEE Congress on Evolutionary Computation 2003: 1840-1847 - [c50]Shotaro Kamio, Hongwei Liu, Hideyuki Mitsuhasi, Hitoshi Iba:
Researches on Ingeniously Behaving Agents. Evolvable Hardware 2003: 218-230 - [c49]Shin Ando, Hitoshi Iba:
Artificial Immune System for Classification of Cancer. EvoWorkshops 2003: 1-10 - [c48]Shotaro Kamio, Hideyuki Mitsuhasi, Hitoshi Iba:
Integration of Genetic Programming and Reinforcement Learning for Real Robots. GECCO 2003: 470-482 - [c47]Topon Kumar Paul, Hitoshi Iba:
Reinforcement Learning Estimation of Distribution Algorithm. GECCO 2003: 1259-1270 - [c46]Hongwei Liu, Hitoshi Iba:
Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption. GECCO 2003: 1715-1718 - [c45]Hiromi Wakaki, Hitoshi Iba:
AVICE: Evolving Avatar's Movernent. GECCO 2003: 1816-1817 - [c44]Shin Ando, Hitoshi Iba:
Artificial Immune System for Classification of Gene Expression Data. GECCO 2003: 1926-1937 - [c43]Shusuke Saeki, Kiyoshi Asai, Katsutoshi Takahashi, Yutaka Ueno, Katsunori Isono, Hitoshi Iba:
GA-Based Inference of Euler Angles for Single Particle Analysis. GECCO 2003: 2288-2300 - [c42]Topon Kumar Paul, Hitoshi Iba:
Optimization in Continuous Domain by Real-coded Estimation of Distribution Algorithm. HIS 2003: 262-271 - [c41]Yutaka Inoue, Takahiro Tohge, Hitoshi Iba:
Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning. HIS 2003: 1124-1134 - [c40]Taro Yabuki, Hitoshi Iba:
Turing-complete data structure for genetic programming. SMC 2003: 3577-3582 - [c39]Natsuki Higashi, Hitoshi Iba:
Particle swarm optimization with Gaussian mutation. SIS 2003: 72-79 - 2002
- [j9]Nikolay I. Nikolaev, Hitoshi Iba:
Genetic Programming of Polynomial Harmonic Networks Using the Discrete Fourier Transform. Int. J. Neural Syst. 12(5): 399-410 (2002) - [j8]Hitoshi Iba, Atsushi Mimura:
Inference of a gene regulatory network by means of interactive evolutionary computing. Inf. Sci. 145(3-4): 225-236 (2002) - [j7]Shin Ando, Erina Sakamoto, Hitoshi Iba:
Evolutionary modeling and inference of gene network. Inf. Sci. 145(3-4): 237-259 (2002) - [c38]Makoto Iwashita, Hitoshi Iba:
Island model GP with immigrants aging and depth-dependent crossover. IEEE Congress on Evolutionary Computation 2002: 267-272 - [c37]Shin Ando, Erina Sakamoto, Hitoshi Iba:
Modeling genetic network by hybrid GP. IEEE Congress on Evolutionary Computation 2002: 291-296 - [c36]Nikolay I. Nikolaev, Lilian M. de Menezes, Hitoshi Iba:
Overfitting avoidance in genetic programming of polynomials. IEEE Congress on Evolutionary Computation 2002: 1209-1214 - [c35]Shin Ando, Hitoshi Iba:
Ant Algorithm For Construction Of Evolutionary Tree. GECCO 2002: 131 - [c34]Hitoshi Iba, Erina Sakamoto:
Inference Of Differential Equation Moels By Genetic Programming. GECCO 2002: 788-795 - [c33]Hitoshi Iba, N. Tokui, Hiromi Wakaki:
3D-CG Avatar Motion Design by means of Interactive Evolutionary Computation. HIS 2002: 540-549 - [c32]Atsushi Mimura, Hitoshi Iba:
Inference of a Gene Regulatory Network by Means of Interactive Evolutionary Computing. JCIS 2002: 1243-1248 - [c31]Shin Ando, Erina Sakamoto, Hitoshi Iba:
Evolutionary Modeling and Inference by Genetic Network. JCIS 2002: 1249-1256 - 2001
- [j6]Nikolay I. Nikolaev, Hitoshi Iba:
Accelerated Genetic Programming of Polynomials. Genet. Program. Evolvable Mach. 2(3): 231-257 (2001) - [j5]Nikolay I. Nikolaev, Hitoshi Iba:
Regularization approach to inductive genetic programming. IEEE Trans. Evol. Comput. 5(4): 359-375 (2001) - [c30]Nikolay I. Nikolaev, Hitoshi Iba:
Genetic programming of polynomial harmonic models using the discrete Fourier transform. CEC 2001: 267-274 - [c29]Shin Ando, Hitoshi Iba:
Inference of gene regulatory model by genetic algorithms. CEC 2001: 712-719 - [c28]Erina Sakamoto, Hitoshi Iba:
Inferring a system of differential equations for a gene regulatory network by using genetic programming. CEC 2001: 720-726 - [c27]Nikolay I. Nikolaev, Hitoshi Iba:
Genetic programming of polynomial harmonic models using the discrete Fourier transform. CEC 2001: 902-909 - [c26]Kohsuke Yanai, Hitoshi Iba:
Multi-agent Robot Learning by Means of Genetic Programming: Solving an Escape Problem. ICES 2001: 192-203 - 2000
- [j4]Masaya Iwata, Isamu Kajitani, Masahiro Murakawa, Yuji Hirao, Hitoshi Iba, Tetsuya Higuchi:
Pattern recognition system using evolvable hardware. Syst. Comput. Jpn. 31(4): 1-11 (2000) - [c25]Shin Ando, Hitoshi Iba:
Analog circuit design with a variable length chromosome. CEC 2000: 994-1001 - [c24]Hitoshi Iba, Nikolay Nikolaev:
Genetic programming polynomial models of financial data series. CEC 2000: 1459-1466 - [c23]Hitoshi Iba, Makoto Terao:
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming. GECCO 2000: 419-426
1990 – 1999
- 1999
- [j3]John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, Rick L. Riolo:
Genetic Programming 1998: Proceedings of the Third Annual Conference. IEEE Trans. Evol. Comput. 3(2): 159-161 (1999) - [c22]Hitoshi Iba, Takashi Sasaki:
Using genetic programming to predict financial data. CEC 1999: 244-251 - [c21]Nikolay I. Nikolaev, Hitoshi Iba:
Automated Discovery of Polynomials by Inductive Genetic Programming. PKDD 1999: 456-461 - 1998
- [j2]Hitoshi Iba:
Evolutionary Learning of Communicating Agents. Inf. Sci. 108(1-4): 181-206 (1998) - [c20]Takuya Ito, Hitoshi Iba, Satoshi Sato:
Non-destructive Depth-Dependent Crossover for Genetic Programming. EuroGP 1998: 71-82 - 1996
- [c19]Hidenori Sakanashi, Tetsuya Higuchi, Hitoshi Iba, Yukinori Kakazu:
An Approach for Genetic Synthesizer of Binary Decision Diagram. International Conference on Evolutionary Computation 1996: 559-564 - [c18]Naohiro Hondo, Hitoshi Iba, Yukinori Kakazu:
Sharing and Refinement for Reusable Subroutines of Genetic Programming. International Conference on Evolutionary Computation 1996: 565-570 - [c17]Hitoshi Iba, Masaya Iwata, Tetsuya Higuchi:
Machine Learning Approach to Gate-Level Evolvable Hardware. ICES 1996: 327-343 - [c16]Hidenori Sakanashi, Tetsuya Higuchi, Hitoshi Iba, Yukinori Kakazu:
Evolution of Binary Decision Diagrams for Digital Circuit Design Using Genetic Programming. ICES 1996: 470-481 - [c15]Hitoshi Iba:
Emergent Cooperation for Multiple Agents Using Genetic Programming. PPSN 1996: 32-41 - [c14]Hitoshi Iba:
Random Tree Generation for Genetic Programming. PPSN 1996: 144-153 - [c13]Naohiro Hondo, Hitoshi Iba, Yukinori Kakazu:
Robust GP in Robot Learning. PPSN 1996: 751-760 - [c12]Masaya Iwata, Isamu Kajitani, Hitoshi Yamada, Hitoshi Iba, Tetsuya Higuchi:
A Pattern Recognition System Using Evolvable Hardware. PPSN 1996: 761-770 - 1995
- [j1]Hitoshi Iba, Hugo de Garis, Taisuke Sato:
A Numerical Approach to Genetic Programming for System Identification. Evol. Comput. 3(4): 417-452 (1995) - [c11]Tetsuya Higuchi, Masaya Iwata, Isamu Kajitani, Hitoshi Iba, Yuji Hirao, Tatsumi Furuya, Bernard Manderick:
Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems. Towards Evolvable Hardware 1995: 118-135 - [c10]Hitoshi Iba, Taisuke Sato, Hugo de Garis:
Temporal Data Processing Using Genetic Programming. ICGA 1995: 279-286 - 1994
- [c9]Hitoshi Iba, Taisuke Sato, Hugo de Garis:
System Identification Approach to Genetic Programming. International Conference on Evolutionary Computation 1994: 401-406 - [c8]Hitoshi Iba, Hugo de Garis, Taisuke Sato:
Genetic Programming with Local Hill-Climbing. PPSN 1994: 302-311 - [c7]Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick:
Applying Evolvable Hardware to Autonomous Agents. PPSN 1994: 524-533 - 1993
- [c6]Hitoshi Iba, Takio Kurita, Hugo de Garis, Taisuke Sato:
System Identification using Structured Genetic Algorithms. ICGA 1993: 279-286 - [c5]Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisuke Sato:
Evolutionary Learning Strategy using Bug-Based Search. IJCAI 1993: 960-966 - 1992
- [c4]Hitoshi Iba, Sumitaka Akiba, Tetsuya Higuchi, Taisuke Sato:
BUGS: A Bug-Based Search Strategy using Genetic Algorithms. PPSN 1992: 167- - [c3]Hugo de Garis, Hitoshi Iba, Tatsumi Furuya:
Differentiable Chromosomes: The Genetic Programming of Switchable Shape-Genes. PPSN 1992: 495-504 - 1991
- [c2]Hitoshi Iba, Hirochika Inoue:
Reasoning of Geometric Concepts based on Algebraic Constraint-directed Method. IJCAI 1991: 143-151
1980 – 1989
- 1988
- [c1]Hitoshi Iba, Hitoshi Matsubara, Hirochika Inoue:
View and Visibility for Managing Incomplete Environmental Models. IROS 1988: 411-416
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-23 19:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
