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2020 – today
- 2025
[j115]Wenqiang Zhang, Huili Geng, Chen Li, Mitsuo Gen, Guohui Zhang, Miaolei Deng:
Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem. J. Intell. Manuf. 36(1): 185-208 (2025)- 2024
- [j114]Mitsuo Gen, Ling Wang, Gursel Suer, Imed Kacem, Shi Cheng:
Intelligent optimization with learning for scheduling and logistics systems. Comput. Ind. Eng. 196: 110435 (2024) - [j113]Wenqiang Zhang
, Chen Li, Mitsuo Gen, Weidong Yang, Guohui Zhang:
A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop scheduling problem. Expert Syst. Appl. 237(Part C): 121570 (2024) - [j112]Lu Sun, Ziqian Liu, Liangtian Wan, Yun Lin, Lin Lin, Jie Wang, Mitsuo Gen:
Cooperative Knowledge-Distillation-Based Tiny DNN for UAV-Assisted Mobile-Edge Network. IEEE Internet Things J. 11(18): 30204-30216 (2024) - [j111]Lu Sun, Jiashuai Wang, Jie Wang, Lin Lin, Mitsuo Gen:
Efficient Joint Deployment of Multi-UAVs for Target Tracking in Traffic Big Data. IEEE Trans. Intell. Transp. Syst. 25(7): 7780-7791 (2024) - 2023
- [j110]Lu Sun, Liangtian Wan, Jiashuai Wang, Lin Lin, Mitsuo Gen:
Joint Resource Scheduling for UAV-Enabled Mobile Edge Computing System in Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 24(12): 15624-15632 (2023) - [c61]Wenqiang Zhang, Huili Geng, Xuan Bao, Mitsuo Gen, Guohui Zhang, Miaolei Deng:
Expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem. BIC-TA (2) 2023: 50-60 - 2022
- [j109]Wenqiang Zhang, Haoran Li, Weidong Yang, Guohui Zhang, Mitsuo Gen:
Hybrid multiobjective evolutionary algorithm considering combination timing for multi-type vehicle routing problem with time windows. Comput. Ind. Eng. 171: 108435 (2022) - [j108]Voravee Punyakum, Kanchana Sethanan, Krisanarach Nitisiri, Rapeepan Pitakaso, Mitsuo Gen:
Hybrid differential evolution and particle swarm optimization for Multi-visit and Multi-period workforce scheduling and routing problems. Comput. Electron. Agric. 197: 106929 (2022) - 2021
- [j107]Yisong Yuan, Sudong Ye, Lin Lin, Mitsuo Gen:
Multi-objective multi-mode resource-constrained project scheduling with fuzzy activity durations in prefabricated building construction. Comput. Ind. Eng. 158: 107316 (2021) - [j106]Jing Tian, Xinchang Hao, Jibo Huang, Jinglei Huang, Mitsuo Gen:
Solving slot allocation problem with multiple ATFM measures by using enhanced meta-heuristic algorithm. Comput. Ind. Eng. 160: 107602 (2021) - [j105]Wenqiang Zhang, Wenlin Hou, Chen Li, Weidong Yang, Mitsuo Gen:
Multidirection Update-Based Multiobjective Particle Swarm Optimization for Mixed No-Idle Flow-Shop Scheduling Problem. Complex Syst. Model. Simul. 1(3): 176-197 (2021) - [c60]Mitsuo Gen, Chuluunsukh Anudari, YoungSu Yun:
Hybridizing Teaching-Learning Based Optimization with GA and PSO: Case Study of Supply Chain Network Model. CSCI 2021: 457-462 - [c59]Chuluunsukh Anudari, YoungSu Yun, Mitsuo Gen:
Hybrid Meta-heuristics Approach for Solving Supply Chain Network Model under Disruption Risk. CSCI 2021: 482-487 - [c58]Mitsuo Gen, Lin Lin, Hayato Ohwada:
Advances in Hybrid Evolutionary Algorithms for Fuzzy Flexible Job-shop Scheduling: State-of-the-Art Survey. ICAART (1) 2021: 562-573 - 2020
- [j104]John Cheng, Bin Yang, Mitsuo Gen, Yong Jae Jang, Chengji Liang:
Machine learning based evolutionary algorithms and optimization for transportation and logistics. Comput. Ind. Eng. 143: 106372 (2020) - [j103]Jianquan Guo, Hailing Yu, Mitsuo Gen:
Research on green closed-loop supply chain with the consideration of double subsidy in e-commerce environment. Comput. Ind. Eng. 149: 106779 (2020) - [j102]Wenqiang Zhang, Diji Yang, Guohui Zhang, Mitsuo Gen:
Hybrid multiobjective evolutionary algorithm with fast sampling strategy-based global search and route sequence difference-based local search for VRPTW. Expert Syst. Appl. 145: 113151 (2020) - [j101]Xiang Li, Jin Peng, Dan A. Ralescu, Mitsuo Gen:
Network optimization with big data and uncertain data. Int. J. Gen. Syst. 49(5): 467-469 (2020) - [c57]Zhaoyang Wu, Lin Lin, Guoliang Gong, Rui Xu, Mitsuo Gen, Yong Zhou:
Evolutionary neural network structure search for DNN pruning and features separation. GECCO Companion 2020: 157-158
2010 – 2019
- 2019
- [j100]Ali Husseinzadeh Kashan, Reza Tavakkoli-Moghaddam, Mitsuo Gen:
Find-Fix-Finish-Exploit-Analyze (F3EA) meta-heuristic algorithm: An effective algorithm with new evolutionary operators for global optimization. Comput. Ind. Eng. 128: 192-218 (2019) - [j99]John Runwei Cheng, Mitsuo Gen:
Accelerating genetic algorithms with GPU computing: A selective overview. Comput. Ind. Eng. 128: 514-525 (2019) - [j98]Jianquan Guo, Lu He, Mitsuo Gen:
Optimal strategies for the closed-loop supply chain with the consideration of supply disruption and subsidy policy. Comput. Ind. Eng. 128: 886-893 (2019) - [j97]Lu Sun, Lin Lin, Haojie Li, Mitsuo Gen:
Large scale flexible scheduling optimization by a distributed evolutionary algorithm. Comput. Ind. Eng. 128: 894-904 (2019) - [j96]Jing Tian, Xinchang Hao, Mitsuo Gen:
A hybrid multi-objective EDA for robust resource constraint project scheduling with uncertainty. Comput. Ind. Eng. 130: 317-326 (2019) - [j95]Krisanarach Nitisiri, Mitsuo Gen, Hayato Ohwada:
A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling. Comput. Ind. Eng. 130: 381-394 (2019) - [j94]Wenqiang Zhang, Yu Wang, Yang Yang, Mitsuo Gen:
Hybrid multiobjective evolutionary algorithm based on differential evolution for flow shop scheduling problems. Comput. Ind. Eng. 130: 661-670 (2019) - [j93]Lu Sun, Lin Lin, Mitsuo Gen, Haojie Li:
A Hybrid Cooperative Coevolution Algorithm for Fuzzy Flexible Job Shop Scheduling. IEEE Trans. Fuzzy Syst. 27(5): 1008-1022 (2019) - [c56]Shuxin Chen, Lin Lin, Zixun Zhang, Mitsuo Gen:
Evolutionary NetArchitecture Search for Deep Neural Networks Pruning. ACAI 2019: 189-196 - [c55]Wenqiang Zhang, Wenlin Hou, Diji Yang, Zheng Xing, Mitsuo Gen:
Multiobjective Particle Swarm Optimization with Directional Search for Distributed Permutation Flow Shop Scheduling Problem. BIC-TA (1) 2019: 164-176 - [c54]Wenqiang Zhang, Diji Yang, Weidong Yang, Zhan Qian, Mitsuo Gen:
Multiobjective Evolutionary Algorithm based on Fast Elite Sampling Strategy and Difference-based Local Search for VRPTW. SMC 2019: 3275-3280 - 2018
- [j92]Lu Sun, Lin Lin, Haojie Li, Mitsuo Gen:
Hybrid Cooperative Co-Evolution Algorithm for Uncertain Vehicle Scheduling. IEEE Access 6: 71732-71742 (2018) - [j91]Mitsuo Gen, Lin Lin, YoungSu Yun, Hisaki Inoue:
Recent advances in hybrid priority-based genetic algorithms for logistics and SCM network design. Comput. Ind. Eng. 125: 394-412 (2018) - [j90]Chengji Liang, Lubin Fan, Dehong Xu, Yi Ding, Mitsuo Gen:
Research on coupling scheduling of quay crane dispatch and configuration in the container terminal. Comput. Ind. Eng. 125: 649-657 (2018) - [j89]Lin Lin, Mitsuo Gen:
Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications. Int. J. Prod. Res. 56(1-2): 193-223 (2018) - [j88]Lizhong Zhao, Chen-Fu Chien, Mitsuo Gen:
A bi-objective genetic algorithm for intelligent rehabilitation scheduling considering therapy precedence constraints. J. Intell. Manuf. 29(5): 973-988 (2018) - [c53]Wenqiang Zhang, Diji Yang, Yu Wang, Zhan Qian, Heyang Xu, Mitsuo Gen:
Hybrid Multiobjective Differential Evolution Based on Positions of Individuals in Multiobjective Optimization. SMC 2018: 3667-3672 - 2017
- [j87]Jianquan Guo, Xinyue Wang, Siyuan Fan, Mitsuo Gen:
Forward and reverse logistics network and route planning under the environment of low-carbon emissions: A case study of Shanghai fresh food E-commerce enterprises. Comput. Ind. Eng. 106: 351-360 (2017) - [j86]Mitsuo Gen, Wenqiang Zhang, Lin Lin, YoungSu Yun:
Recent advances in hybrid evolutionary algorithms for multiobjective manufacturing scheduling. Comput. Ind. Eng. 112: 616-633 (2017) - [j85]Kai Hu, Xingfang Zhang, Mitsuo Gen, Jungbok Jo:
A new model for single machine scheduling with uncertain processing time. J. Intell. Manuf. 28(3): 717-725 (2017) - [j84]Wenqiang Zhang, Weitao Xu, Gang Liu, Mitsuo Gen:
An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem. J. Intell. Manuf. 28(3): 783-790 (2017) - [j83]Xin-Chang Hao, Mitsuo Gen, Lin Lin, Gürsel A. Süer:
Effective multiobjective EDA for bi-criteria stochastic job-shop scheduling problem. J. Intell. Manuf. 28(3): 833-845 (2017) - [j82]Chettha Chamnanlor, Kanchana Sethanan, Mitsuo Gen, Chen-Fu Chien:
Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints. J. Intell. Manuf. 28(8): 1915-1931 (2017) - 2015
- [j81]Youfang Huang, Mitsuo Gen, Kap Hwan Kim, Chengji Liang, Lin Lin:
Maritime logistics and transportation intelligence. Comput. Ind. Eng. 89: 1 (2015) - [j80]Jia-Nian Zheng, Chen-Fu Chien, Mitsuo Gen:
Multi-objective multi-population biased random-key genetic algorithm for the 3-D container loading problem. Comput. Ind. Eng. 89: 80-87 (2015) - [j79]Chatnugrob Sangsawang, Kanchana Sethanan, Takahiro Fujimoto, Mitsuo Gen:
Metaheuristics optimization approaches for two-stage reentrant flexible flow shop with blocking constraint. Expert Syst. Appl. 42(5): 2395-2410 (2015) - [j78]Thitipong Jamrus, Chen-Fu Chien, Mitsuo Gen, Kanchana Sethanan:
Multistage production distribution under uncertain demands with integrated discrete particle swarm optimization and extended priority-based hybrid genetic algorithm. Fuzzy Optim. Decis. Mak. 14(3): 265-287 (2015) - [j77]Jeong-eun Lee, Kyung-Yong Chung, Kang-Dae Lee, Mitsuo Gen:
A multi-objective hybrid genetic algorithm to minimize the total cost and delivery tardiness in a reverse logistics. Multim. Tools Appl. 74(20): 9067-9085 (2015) - [c52]Yan Wang, Lin Lin, Mitsuo Gen, Lu Sun, Hiroshi Kawakami:
A Co-cooperative Evolutionary Algorithm for Flexible Scheduling Problem under Uncertainty. Complex Adaptive Systems 2015: 515-520 - [c51]Lu Sun, Lin Lin, Yan Wang, Mitsuo Gen, Hiroshi Kawakami:
A Bayesian Optimization-based Evolutionary Algorithm for Flexible Job Shop Scheduling. Complex Adaptive Systems 2015: 521-526 - 2014
- [j76]Raouf Boutaba, Kyung-Yong Chung, Mitsuo Gen:
Recent trends in interactive multimedia computing for industry. Clust. Comput. 17(3): 723-726 (2014) - [j75]Chen-Fu Chien, Mitsuo Gen, Yongjiang Shi, Chia-Yu Hsu:
Manufacturing intelligence and innovation for digital manufacturing and operational excellence. J. Intell. Manuf. 25(5): 845-847 (2014) - [j74]Mitsuo Gen, Lin Lin:
Multiobjective evolutionary algorithm for manufacturing scheduling problems: state-of-the-art survey. J. Intell. Manuf. 25(5): 849-866 (2014) - [j73]Xin-Chang Hao, Jei-Zheng Wu, Chen-Fu Chien, Mitsuo Gen:
The cooperative estimation of distribution algorithm: a novel approach for semiconductor final test scheduling problems. J. Intell. Manuf. 25(5): 867-879 (2014) - [j72]Wenqiang Zhang, Mitsuo Gen, Jungbok Jo:
Hybrid sampling strategy-based multiobjective evolutionary algorithm for process planning and scheduling problem. J. Intell. Manuf. 25(5): 881-897 (2014) - [j71]Chengji Liang, Min Chen, Mitsuo Gen, Jungbok Jo:
A multi-objective genetic algorithm for yard crane scheduling problem with multiple work lines. J. Intell. Manuf. 25(5): 1013-1024 (2014) - [j70]Dong Won Cho, Young Hae Lee, Tae Youn Lee, Mitsuo Gen:
An adaptive genetic algorithm for the time dependent inventory routing problem. J. Intell. Manuf. 25(5): 1025-1042 (2014) - [j69]Che-Wei Chou, Chen-Fu Chien, Mitsuo Gen:
A Multiobjective Hybrid Genetic Algorithm for TFT-LCD Module Assembly Scheduling. IEEE Trans Autom. Sci. Eng. 11(3): 692-705 (2014) - [c50]Hung-Kai Wang, Chen-Fu Chien, Mitsuo Gen:
Hybrid estimation of distribution algorithm with multiple subpopulations for semiconductor manufacturing scheduling problem with limited waiting-time constraint. CASE 2014: 101-106 - [c49]Xin-Chang Hao, Lin Lin, Mitsuo Gen, Chen-Fu Chien:
An effective Markov network based EDA for flexible job shop scheduling problems under uncertainty. CASE 2014: 131-136 - [c48]Lin Lin, Mitsuo Gen, Yan Liang:
A hybrid EA for high-dimensional subspace clustering problem. IEEE Congress on Evolutionary Computation 2014: 2855-2860 - [c47]Xin-Chang Hao, Lin Lin, Mitsuo Gen:
An Effective Multi-objective EDA for Robust Resource Constrained Project Scheduling with Uncertain Durations. Complex Adaptive Systems 2014: 571-578 - [c46]Wenqiang Zhang, Weitao Xu, Mitsuo Gen:
Hybrid Multiobjective Evolutionary Algorithm for Assembly Line Balancing Problem with Stochastic Processing Time. Complex Adaptive Systems 2014: 587-592 - 2013
- [j68]Hirosato Seki, Toyokazu Nose, Young Hae Lee, Chen-Fu Chien, Mitsuo Gen:
Special issue on recent advance in Intelligent Manufacturing Systems. Comput. Ind. Eng. 65(1): 1 (2013) - [j67]Seren Özmehmet Tasan, Mitsuo Gen:
An integrated selection and scheduling for disjunctive network problems. Comput. Ind. Eng. 65(1): 65-76 (2013) - [c45]Yusuke Kikuchi, Kenichi Ida, Mitsuo Gen:
GA for JSP with Delivery Time. AMT 2013: 369-378 - [c44]Mitsuo Gen, Kenichi Ida:
Advances in Multiobjective Hybrid Genetic Algorithms for Intelligent Manufacturing and Logistics Systems. AMT 2013: 379-389 - [c43]Wenqiang Zhang, Weitao Xu, Mitsuo Gen:
Multi-objective Evolutionary Algorithm with Strong Convergence of Multi-area for Assembly Line Balancing Problem with Worker Capability. Complex Adaptive Systems 2013: 83-89 - [c42]Xin-Chang Hao, Lin Lin, Mitsuo Gen, Katsuhisa Ohno:
Effective Estimation of Distribution Algorithm for Stochastic Job Shop Scheduling Problem. Complex Adaptive Systems 2013: 102-107 - 2012
- [j66]Ali Serdar Tasan, Mitsuo Gen:
A genetic algorithm based approach to vehicle routing problem with simultaneous pick-up and deliveries. Comput. Ind. Eng. 62(3): 755-761 (2012) - [j65]Chen-Fu Chien, Kap Hwan Kim, Baoding Liu, Mitsuo Gen:
Advanced decision and intelligence technologies for manufacturing and logistics. J. Intell. Manuf. 23(6): 2133-2135 (2012) - [j64]Chengji Liang, Hark Hwang, Mitsuo Gen:
A berth allocation planning problem with direct transshipment consideration. J. Intell. Manuf. 23(6): 2207-2214 (2012) - [j63]Lin Lin, Xin-Chang Hao, Mitsuo Gen, Jungbok Jo:
Network modeling and evolutionary optimization for scheduling in manufacturing. J. Intell. Manuf. 23(6): 2237-2253 (2012) - [j62]Jei-Zheng Wu, Xin-Chang Hao, Chen-Fu Chien, Mitsuo Gen:
A novel bi-vector encoding genetic algorithm for the simultaneous multiple resources scheduling problem. J. Intell. Manuf. 23(6): 2255-2270 (2012) - [c41]Wenqiang Zhang, Lin Lin, Mitsuo Gen, Chen-Fu Chien:
Hybrid Sampling Strategy-based Multiobjective Evolutionary Algorithm. Complex Adaptive Systems 2012: 96-101 - [c40]Lin Lin, Mitsuo Gen, Yan Liang, Katsuhisa Ohno:
A Hybrid EA for Reactive Flexible Job-shop Scheduling. Complex Adaptive Systems 2012: 110-115 - 2011
- [j61]Mitsuo Gen, Hark Hwang:
Advanced models and optimization in manufacturing and logistics systems. J. Intell. Manuf. 22(3): 343 (2011) - [j60]Wenqiang Zhang, Mitsuo Gen:
An efficient multiobjective genetic algorithm for mixed-model assembly line balancing problem considering demand ratio-based cycle time. J. Intell. Manuf. 22(3): 367-378 (2011)
2000 – 2009
- 2009
- [j59]Fulya Altiparmak, Mitsuo Gen, Lin Lin, Ismail Karaoglan:
A steady-state genetic algorithm for multi-product supply chain network design. Comput. Ind. Eng. 56(2): 521-537 (2009) - [j58]Mitsuo Gen, Chen-Fu Chien:
Foreword. Comput. Ind. Eng. 56(3): 777-778 (2009) - [j57]Mitsuo Gen, Lin Lin, Haipeng Zhang:
Evolutionary techniques for optimization problems in integrated manufacturing system: State-of-the-art-survey. Comput. Ind. Eng. 56(3): 779-808 (2009) - [j56]Lin Lin, Mitsuo Gen, Xiaoguang Wang:
Integrated multistage logistics network design by using hybrid evolutionary algorithm. Comput. Ind. Eng. 56(3): 854-873 (2009) - [j55]Jiuping Xu, Yanan He, Mitsuo Gen:
A class of random fuzzy programming and its application to supply chain design. Comput. Ind. Eng. 56(3): 937-950 (2009) - [j54]Jeong-eun Lee, Mitsuo Gen, Kyong-gu Rhee:
Network model and optimization of reverse logistics by hybrid genetic algorithm. Comput. Ind. Eng. 56(3): 951-964 (2009) - [j53]Jie Gao, Linyan Sun, Lihua Wang, Mitsuo Gen:
An efficient approach for type II robotic assembly line balancing problems. Comput. Ind. Eng. 56(3): 1065-1080 (2009) - [j52]Lin Lin, YongSu Seo, Mitsuo Gen, Runwei Cheng:
Unusual human behavior recognition using evolutionary technique. Comput. Ind. Eng. 56(3): 1137-1153 (2009) - [j51]Feng Wen, Mitsuo Gen, Xinjie Yu:
Multilayer Traffic Network Optimized by Multiobjective Genetic Clustering Algorithm. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 2107-2115 (2009) - [j50]Feng Wen, Mitsuo Gen:
A Multistage Method for Multiobjective Route Selection. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(10): 2618-2625 (2009) - [j49]Haipeng Zhang, Mitsuo Gen:
A parallel hybrid ant colony optimisation approach for job-shop scheduling problem. Int. J. Manuf. Technol. Manag. 16(1/2): 22-41 (2009) - [j48]Lin Lin, Mitsuo Gen:
A random key-based genetic algorithm for AGV dispatching in FMS. Int. J. Manuf. Technol. Manag. 16(1/2): 58-75 (2009) - [j47]Jie Gao, Mitsuo Gen, Linyan Sun:
Modelling and scheduling preventative maintenance in semiconductor manufacturing industry with MAs. Int. J. Manuf. Technol. Manag. 16(1/2): 101-126 (2009) - [j46]Azuma Okamoto, Mitsuo Gen, Mitsumasa Sugawara:
Integrated scheduling using genetic algorithm with quasi-random sequences. Int. J. Manuf. Technol. Manag. 16(1/2): 147-165 (2009) - [j45]Lin Lin, Mitsuo Gen:
Auto-tuning strategy for evolutionary algorithms: balancing between exploration and exploitation. Soft Comput. 13(2): 157-168 (2009) - [p2]Mitsuo Gen, Lin Lin:
Evolutionary Techniques for Automation. Handbook of Automation 2009: 487-502 - 2008
- [j44]Reakook Hwang, Mitsuo Gen, Hiroshi Katayama:
A comparison of multiprocessor task scheduling algorithms with communication costs. Comput. Oper. Res. 35(3): 976-993 (2008) - [j43]Jie Gao, Linyan Sun, Mitsuo Gen:
A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems. Comput. Oper. Res. 35(9): 2892-2907 (2008) - [j42]Chi-Ming Lin, Mitsuo Gen:
Multi-criteria human resource allocation for solving multistage combinatorial optimization problems using multiobjective hybrid genetic algorithm. Expert Syst. Appl. 34(4): 2480-2490 (2008) - [c39]Feng Wen, Xiaohao Gao, Mitsuo Gen:
A novel approach to route selection in car navigation systems by a multiobjective genetic algorithm. GECCO 2008: 767-768 - [c38]Shinichiro Ataka, Mitsuo Gen:
The study for transportation planning considered the inventory using hybrid genetic algorithm. GECCO 2008: 1689-1690 - [c37]Jeong-eun Lee, Mitsuo Gen, Kyong-gu Rhee:
Designing a multistage reverse logistics network problem by hybrid genetic algorithm. GECCO 2008: 1707-1708 - [c36]Feng Wen, Mitsuo Gen:
A genetic-based clustering approach to traffic network design for car navigation system. SMC 2008: 1688-1693 - [c35]Seren Özmehmet Tasan, Mitsuo Gen:
A priority-based genetic algorithm approach for solving multiple alternative project scheduling problems with resource constraints and variable activity times. SMC 2008: 2537-2542 - [c34]Wenqiang Zhang, Mitsuo Gen, Lin Lin:
A multiobjective genetic algorithm for Assembly Line Balancing problem with worker allocation. SMC 2008: 3026-3033 - [p1]Mitsuo Gen, Lin Lin:
Genetic Algorithms. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [j41]Chi-Ming Lin, Mitsuo Gen:
Multiobjective resource allocation problem by multistage decision-based hybrid genetic algorithm. Appl. Math. Comput. 187(2): 574-583 (2007) - [j40]Jie Gao, Mitsuo Gen, Linyan Sun, Xiaohui Zhao:
A hybrid of genetic algorithm and bottleneck shifting for multiobjective flexible job shop scheduling problems. Comput. Ind. Eng. 53(1): 149-162 (2007) - [j39]Jungbok Jo, Yinzhen Li, Mitsuo Gen:
Nonlinear fixed charge transportation problem by spanning tree-based genetic algorithm. Comput. Ind. Eng. 53(2): 290-298 (2007) - [j38]Takao Yokota, Shozo Wada, Takeaki Taguchi, Mitsuo Gen:
Optimal weight design problem of elastic structure by GA. Comput. Ind. Eng. 53(2): 299-305 (2007) - [j37]Myungryun Yoo, Mitsuo Gen:
Scheduling algorithm for real-time tasks using multiobjective hybrid genetic algorithm in heterogeneous multiprocessors system. Comput. Oper. Res. 34(10): 3084-3098 (2007) - [c33]Shinichiro Ataka, Mitsuo Gen:
Solving exclusionary side constrained logistics network by using priority-based GA. IEEE Congress on Evolutionary Computation 2007: 4483-4488 - [c32]Lin Lin, Mitsuo Gen:
A bicriteria shortest path routing problems by hybrid genetic algorithm in communication networks. IEEE Congress on Evolutionary Computation 2007: 4577-4582 - 2006
- [j36]Chi-Ming Lin, Jih-Jeng Huang, Mitsuo Gen, Gwo-Hshiung Tzeng:
Recurrent neural network for dynamic portfolio selection. Appl. Math. Comput. 175(2): 1139-1146 (2006) - [j35]Mitsuo Gen, Yoonho Seo, Katsuhiko Takahashi, Jonghun Park:
Foreword. Comput. Ind. Eng. 51(1): 1 (2006) - [j34]Fulya Altiparmak, Mitsuo Gen, Lin Lin, Turan Paksoy:
A genetic algorithm approach for multi-objective optimization of supply chain networks. Comput. Ind. Eng. 51(1): 196-215 (2006) - [j33]Lin Lin, Mitsuo Gen:
Node-Based Genetic Algorithm for Communication Spanning Tree Problem. IEICE Trans. Commun. 89-B(4): 1091-1098 (2006) - [j32]Haipeng Zhang, Mitsuo Gen, Yoonho Seo:
An effective coding approach for multiobjective integrated resource selection and operation sequences problem. J. Intell. Manuf. 17(4): 385-397 (2006) - [j31]Azuma Okamoto, Mitsuo Gen, Mitsumasa Sugawara:
Integrated data structure and scheduling approach for manufacturing and transportation using hybrid genetic algorithm. J. Intell. Manuf. 17(4): 411-421 (2006) - [j30]Lin Lin, Seong Whan Shinn, Mitsuo Gen, Hark Hwang:
Network model and effective evolutionary approach for AGV dispatching in manufacturing system. J. Intell. Manuf. 17(4): 465-477 (2006) - [j29]Jie Gao, Mitsuo Gen, Linyan Sun:
Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm. J. Intell. Manuf. 17(4): 493-507 (2006) - [j28]Chiung Moon, Yoonho Seo, YoungSu Yun, Mitsuo Gen:
Adaptive genetic algorithm for advanced planning in manufacturing supply chain. J. Intell. Manuf. 17(4): 509-522 (2006) - [j27]Jun Li, Jiuping Xu, Mitsuo Gen:
A class of multiobjective linear programming model with fuzzy random coefficients. Math. Comput. Model. 44(11-12): 1097-1113 (2006) - [j26]Mitsuo Gen, Fulya Altiparmak, Lin Lin:
A genetic algorithm for two-stage transportation problem using priority-based encoding. OR Spectr. 28(3): 337-354 (2006) - [j25]Mitsuo Gen, YoungSu Yun:
Soft computing approach for reliability optimization: State-of-the-art survey. Reliab. Eng. Syst. Saf. 91(9): 1008-1026 (2006) - [c31]Lin Lin, Mitsuo Gen:
A Self-controlled Genetic Algorithm for Reliable Communication Network Design. IEEE Congress on Evolutionary Computation 2006: 640-647 - [c30]Jie Gao, Mitsuo Gen, Linyan Sun:
A hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problemA hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problem. GECCO 2006: 1157-1164 - [c29]Mitsuo Gen, Lin Lin:
A new approach for shortest path routing problem by random key-based GA. GECCO 2006: 1411-1412 - [c28]Haipeng Zhang, Mitsuo Gen:
Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system. GECCO 2006: 1841-1848 - 2005
- [j24]Masato Watanabe, Kenichi Ida, Mitsuo Gen:
A genetic algorithm with modified crossover operator and search area adaptation for the job-shop scheduling problem. Comput. Ind. Eng. 48(4): 743-752 (2005) - [j23]Mitsuo Gen, Admi Syarif:
Hybrid genetic algorithm for multi-time period production/distribution planning. Comput. Ind. Eng. 48(4): 799-809 (2005) - [j22]Kwan Woo Kim, YoungSu Yun, JungMo Yoon, Mitsuo Gen, Genji Yamazaki:
Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling. Comput. Ind. 56(2): 143-160 (2005) - 2004
- [j21]Kwan Woo Kim, Genji Yamazaki, Lin Lin, Mitsuo Gen:
Network-based hybrid genetic algorithm for scheduling in FMS environments. Artif. Life Robotics 8(1): 67-76 (2004) - [j20]Minoru Mukuda, YoungSu Yun, Mitsuo Gen:
Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms. J. Adv. Comput. Intell. Intell. Informatics 8(4): 437-441 (2004) - 2003
- [j19]Kwan Woo Kim, Mitsuo Gen, Genji Yamazaki:
Hybrid genetic algorithm with fuzzy logic for resource-constrained project scheduling. Appl. Soft Comput. 2(3): 174-188 (2003) - [j18]Masato Sasaki, Mitsuo Gen:
Fuzzy multiple objective optimal system design by hybrid genetic algorithm. Appl. Soft Comput. 2(3): 189-196 (2003) - [j17]YoungSu Yun, Mitsuo Gen:
Performance Analysis of Adaptive Genetic Algorithms with Fuzzy Logic and Heuristics. Fuzzy Optim. Decis. Mak. 2(2): 161-175 (2003) - [j16]Mitsuo Gen, Runwei Cheng:
Evolutionary Network Design: Hybrid Genetic Algorithms Approach. Int. J. Comput. Intell. Appl. 3(4): 357-380 (2003) - [j15]Admi Syarif, Mitsuo Gen:
Solving exclusionary side constrained transportation problem by using a hybrid spanning tree-based genetic algorithm. J. Intell. Manuf. 14(3-4): 389-399 (2003) - [j14]YoungSu Yun, Mitsuo Gen, Seunglock Seo:
Various hybrid methods based on genetic algorithm with fuzzy logic controller. J. Intell. Manuf. 14(3-4): 401-419 (2003) - [j13]Gengui Zhou, Mitsuo Gen:
A genetic algorithm approach on tree-like telecommunication network design problem. J. Oper. Res. Soc. 54(3): 248-254 (2003) - [c27]Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi, Mitsuo Gen:
Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems. EMO 2003: 593-607 - 2002
- [j12]Changyoon Lee, Mitsuo Gen, Yasuhiro Tsujimura:
Reliability Optimization Design Using Hybrid NN-GA with Fuzzy Logic Controller. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(2): 432-446 (2002) - [j11]Changyoon Lee, YoungSu Yun, Mitsuo Gen:
Reliability Optimization Design for Complex Systems by Hybrid GA with Fuzzy Logic Control and Local Search. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(4): 880-891 (2002) - [c26]Yasuhiro Tsujimura, Mitsuo Gen, Admi Syarif:
Solving a nonlinear side constrained transportation problem by using spanning tree-based genetic algorithm. IEEE Congress on Evolutionary Computation 2002: 546-551 - [c25]Tadahiko Murata, Hiroyuki Nozawa, Yasuhiro Tsujimura, Mitsuo Gen, Hisao Ishibuchi:
Effect of local search on the performance of cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems. IEEE Congress on Evolutionary Computation 2002: 663-668 - 2001
- [c24]Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen:
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms. EMO 2001: 82-95 - [c23]Yasuhiro Tsujimura, Yuichiro Mafune, Mitsuo Gen:
Effects of Symbiotic Evolution in Genetic Algorithms for Job-Shop Scheduling. HICSS 2001 - 2000
- [j10]Mitsuo Gen, Juno Choi, Kenichi Ida:
Improved genetic algorithm for generalized transportation problem. Artif. Life Robotics 4(2): 96-102 (2000) - [j9]Chiung Moon, Mitsuo Gen:
A Genetic Algorithm for Machines Sequencing Considering Operation Flexibility and AGV Guidepath. J. Adv. Comput. Intell. Intell. Informatics 4(1): 88-94 (2000) - [c22]Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen:
Cellular Genetic Local Search for Multi-Objective Optimization. GECCO 2000: 307-314 - [c21]Mitsuo Gen, Gengui Zhou:
A Genetic Algorithm for the Mini-Max Spanning Forest Problem. GECCO 2000: 387
1990 – 1999
- 1999
- [j8]J. R. Kim, Mitsuo Gen, Kenichi Ida:
Bicriteria network design using a spanning tree-based genetic algorithm. Artif. Life Robotics 3(2): 65-72 (1999) - [j7]Gengui Zhou, Mitsuo Gen:
Genetic algorithm approach on multi-criteria minimum spanning tree problem. Eur. J. Oper. Res. 114(1): 141-152 (1999) - [j6]Yasuhiro Tsujimura, Mitsuo Gen:
Parts loading scheduling in a flexible forging machine using an advanced genetic algorithm. J. Intell. Manuf. 10(2): 149-159 (1999) - [c20]Mitsuo Gen, Yinzhen Li:
Spanning tree-based genetic algorithm for the bicriteria fixed charge transportation problem. CEC 1999: 2265-2271 - [c19]Jong Ryul Kim, Mitsuo Gen:
Genetic algorithm for solving bicriteria network topology design problem. CEC 1999: 2272-2279 - 1998
- [j5]Gengui Zhou, Mitsuo Gen:
An effective genetic algorithm approach to the quadratic minimum spanning tree problem. Comput. Oper. Res. 25(3): 229-237 (1998) - [j4]Runwei Cheng, Mitsuo Gen:
An evolution programme for the resource-constrained project scheduling problem. Int. J. Comput. Integr. Manuf. 11(3): 274-287 (1998) - [c18]Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen:
Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. Evolutionary Programming 1998: 407-416 - [c17]Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen:
Neighborhood structures for genetic local search algorithms. KES (2) 1998: 259-263 - [c16]Yasuhiro Tsujimura, Sucbum Ko, Mitsuo Gen:
Data distribution considered communication flow in network using genetic algorithm. KES (2) 1998: 264-271 - [c15]Mitsuo Gen, Kenichi Ida, R. Kobuchi, Chang-Yun Lee:
Hybridized neural network and genetic algorithms for solving nonlinear integer programming. KES (2) 1998: 272-277 - [c14]Takeaki Taguchi, Takao Yokota, Mitsuo Gen:
GA-based method for fuzzy optimal design of system reliability with incomplete FDS. KES (1) 1998: 272-277 - [c13]Yasuhiro Tsujimura, Mitsuo Gen:
Entropy-based genetic algorithm for solving TSP. KES (2) 1998: 285-290 - [c12]Yasuhiro Tsujimura, Mitsuo Gen:
Evolutionary Recognition of Features from CAD Data. SEAL 1998: 276-284 - [c11]Mitsuo Gen, Kenichi Ida, Chang-Yun Lee:
Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem. SEAL 1998: 421-429 - 1997
- [j3]Runwei Cheng, Mitsuo Gen:
Resource Constrained Project Scheduling Problem using Genetic Algorithms. Intell. Autom. Soft Comput. 3(3): 273-286 (1997) - [j2]Gengui Zhou, Mitsuo Gen:
A note on genetic algorithms for degree-constrained spanning tree problems. Networks 30(2): 91-95 (1997) - [c10]Mitsuo Gen, Runwei Cheng, Dingwei Wang:
Genetic algorithms for solving shortest path problems. ICEC 1997: 401-406 - 1996
- [c9]Dijin Gong, Genji Yamazaki, Mitsuo Gen:
Evolutionary Program for Optimal Design of Material Distribution System. International Conference on Evolutionary Computation 1996: 139-143 - [c8]Yinzhen Li, Mitsuo Gen, Kenichi Ida:
Evolutionary Computation for Multicriteria Solid Transportation Problem with Fuzzy Numbers. International Conference on Evolutionary Computation 1996: 596-601 - [c7]Linhu Zhao, Yasuhiro Tsujimura, Mitsuo Gen:
Genetic Algorithm for Fuzzy Clustering. International Conference on Evolutionary Computation 1996: 716-719 - [c6]Mitsuo Gen, Runwei Cheng:
A Survey of Penalty Techniques in Genetic Algorithms. International Conference on Evolutionary Computation 1996: 804-809 - [c5]Dijin Gong, Mitsuo Gen, Genji Yamazaki, Weixuan Xu:
A modified ANN for convex programming with linear constraints. ICNN 1996: 537-542 - [c4]Yasuhiro Tsujimura, Mitsuo Gen:
Genetic Algorithms for Solving Multiprocessor Scheduling Problems. SEAL 1996: 106-115 - 1995
- [j1]In Seong Chang, Yasuhiro Tsujimura, Mitsuo Gen, Tatsumi Tozawa:
An efficient approach for large scale project planning based on fuzzy Delphi method. Fuzzy Sets Syst. 76(3): 277-288 (1995) - [c3]Dijin Gong, Mitsuo Gen, Genji Yamazaki, Weixuan Xu:
Neural network approach for general assignment problem. ICNN 1995: 1861-1866 - 1994
- [c2]Runwei Cheng, Mitsuo Gen:
Evolution Program for Resource Constrained Project Scheduling Problem. International Conference on Evolutionary Computation 1994: 736-741
1980 – 1989
- 1983
- [c1]Mitsuo Gen, Kenichi Ida:
Interactive bicriteria linear programming systems implemented on a personal computer. SIGSMALL 1983: 143-152
Coauthor Index
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