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Jun-ichi Kushida
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Journal Articles
- 2021
- [j4]Takeshi Kawachi, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Efficient parameter-free adaptive penalty method with balancing the objective function value and the constraint violation. Int. J. Comput. Intell. Stud. 10(2/3): 127-160 (2021) - 2018
- [j3]Yudai Kuwahata, Jun-ichi Kushida, Satoshi Ono:
A Preliminary Study on Adaptive Evolution Control Using Rank Correlation for Surrogate-Assisted Evolutionary Computation. Int. J. Softw. Innov. 6(4): 59-72 (2018) - 2017
- [j2]Toshiki Nishio, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Particle swarm optimisation with dynamic search strategies based on rank correlation. Int. J. Comput. Intell. Stud. 6(4): 311-332 (2017) - 2016
- [j1]Tetsuyuki Takahama, Setsuko Sakai, Jun-ichi Kushida, Akira Hara:
Particle swarm optimization with mutation operations controlled by landscape modality estimation using hill-valley detection. Artif. Life Robotics 21(4): 423-433 (2016)
Conference and Workshop Papers
- 2021
- [c30]Akira Hara, Jun-ichi Kushida, Ryohei Yasuda, Tetsuyuki Takahama:
Efficient Data Presentation Method for Building User Preference Model Using Interactive Evolutionary Computation. KES-IDT 2021: 583-593 - 2020
- [c29]Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama:
Maintaining Population Diversity in Deterministic Geometric Semantic Genetic Programming by ϵ-Lexicase Selection. SMC 2020: 205-210 - 2019
- [c28]Takeshi Kawachi, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Efficient Constraint Handling based on the Adaptive Penalty Method with Balancing the Objective Function Value and the Constraint Violation. IWCIA 2019: 121-128 - [c27]Takeshi Kawachi, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
L-SHADE with an adaptive penalty method of balancing the objective value and the constraint violation. GECCO (Companion) 2019: 5-6 - [c26]Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama:
Time Series Prediction Using Deterministic Geometric Semantic Genetic Programming. SMC 2019: 1945-1949 - 2018
- [c25]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Cartesian Genetic Programming with Module Mutation for Symbolic Regression. SMC 2018: 159-164 - [c24]Akira Hara, Jun-ichi Kushida, Ryota Takemoto, Tetsuyuki Takahama:
Artificial Bee Colony Programming Using Semantic Control Crossover. SMC 2018: 189-194 - 2017
- [c23]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Naoya Mimura:
Cartesian ant programming introducing symbiotic relationship between ants and aphids. IWCIA 2017: 115-120 - [c22]Keiko Ono, Jun-ichi Kushida:
Landscape estimation of decision-tree induction based on grammatical Evolution using rank correlation. CEC 2017: 781-788 - [c21]Akira Hara, Jun-ichi Kushida, Takamichi Yamagata, Tetsuyuki Takahama:
The influence of generation alternation model on search performance in deterministic geometric semantic genetic programming. SMC 2017: 588-593 - [c20]Yudai Kuwahata, Jun-ichi Kushida, Satoshi Ono:
A fundamental study on adaptive surrogate-assisted evolutionary computation using rank correlation. SNPD 2017: 633-638 - 2016
- [c19]Akira Hara, Hiroki Konishi, Jun-ichi Kushida, Tetsuyuki Takahama:
Efficiency improvement of imitation operator in multi-agent control model based on Cartesian Genetic Programming. IWCIA 2016: 69-74 - [c18]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Shogo Nagura:
Cartesian ant programming with transition rule considering internode distance. IWCIA 2016: 101-105 - [c17]Toshiki Nishio, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Particle swarm optimization with dynamic search strategies based on landscape modality estimation. IWCIA 2016: 113-118 - [c16]Akira Hara, Jun-ichi Kushida, Ryo Tanemura, Tetsuyuki Takahama:
Deterministic Crossover Based on Target Semantics in Geometric Semantic Genetic Programming. IIAI-AAI 2016: 197-202 - [c15]Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama:
Deterministic Geometric Semantic Genetic Programming with Optimal Mate Selection. SMC 2016: 3387-3392 - 2015
- [c14]Akira Hara, Jun-ichi Kushida, Tomoya Okita, Tetsuyuki Takahama:
Behavior control of multiple agents by Cartesian Genetic Programming equipped with sharing sub-programs among agents. IWCIA 2015: 71-76 - [c13]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Cartesian Ant Programming with node release mechanism. IWCIA 2015: 83-88 - [c12]Toshiki Nishio, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Adaptive particle swarm optimization with multi-dimensional mutation. IWCIA 2015: 131-136 - [c11]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Rank-based differential evolution with multiple mutation strategies for large scale global optimization. CEC 2015: 353-360 - [c10]Akira Hara, Jun-ichi Kushida, Kei Kisaka, Tetsuyuki Takahama:
Geometric Semantic Genetic Programming Using External Division of Parents. IIAI-AAI 2015: 189-194 - [c9]Akira Hara, Takuya Mototsuka, Jun-ichi Kushida, Tetsuyuki Takahama:
Genetic Programming Using the Best Individuals of Genealogies for Maintaining Population Diversity. SMC 2015: 2690-2696 - 2014
- [c8]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Enhanced interactive differential evolution using evolutionary level. SCIS&ISIS 2014: 62-65 - [c7]Akira Hara, Jun-ichi Kushida, Takeyuki Nobuta, Tetsuyuki Takahama:
Rank-based Semantic Control Crossover in Genetic Programming. SMC 2014: 501-506 - 2013
- [c6]Akira Hara, Jun-ichi Kushida, Souichi Tanabe, Tetsuyuki Takahama:
Parallel Ant Programming using genetic operators. IWCIA 2013: 75-80 - [c5]Takuya Mototsuka, Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama:
Genetic programming with multiple initial populations generated by simulated annealing. IWCIA 2013: 113-118 - [c4]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Ayumi Kido:
Island-based differential evolution with varying subpopulation size. IWCIA 2013: 119-124 - [c3]Akira Hara, Jun-ichi Kushida, Koji Kitao, Tetsuyuki Takahama:
Neuroevolution by Particle Swarm Optimization with Adaptive Input Selection for Controlling Platform-Game Agent. SMC 2013: 2504-2509 - 2012
- [c2]Jun-ichi Kushida, Kazuhisa Oba, Akira Hara, Tetsuyuki Takahama:
Solving quadratic assignment problems by differential evolution. SCIS&ISIS 2012: 639-644 - 2008
- [c1]Iori Nakaoka, Junichi Kushida, Katsuari Kamei:
Proposal of group decision support system for commodity purchase using Kansei and SOM. SMC 2008: 1396-1400
Coauthor Index
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