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Ichiro Iimura

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Journal Articles

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2022
[j3]
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Ichiro Iimura, Yoshifumi Moriyama, Shigeru Nakayama:
Isolation Strategy for Multi-Objective Quantum-Inspired Evolutionary Algorithm. Int. J. Comput. Intell. Stud. 11(3/4) (2022)
[j2]
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Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Isolation strategy for multi-objective quantum-inspired evolutionary algorithm. Int. J. Comput. Intell. Stud. 11(3/4) (2022)
2018
[j1]
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Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Search performance analysis of qubit convergence measure for quantum-inspired evolutionary algorithm introducing on maximum cut problem. Int. J. Comput. Intell. Stud. 7(3/4): 231-252 (2018)

Conference and Workshop Papers

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2021
[c11]
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Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Consideration on Isolation Strategy for Multi-Objective Quantum-Inspired Evolutionary Algorithm. IWCIA 2021: 1-6
2018
[c10]
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Yuki Kiridoshi, Ken Ishibashi, Kazutake Kozono, Ichiro Iimura:
Initial consideration on designing a system to support science communication and continuous programming learning. ICETC 2018: 223-230
[c9]
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Hiroyuki Hoshi, Ichiro Iimura, Shigeru Nakayama, Yoshifumi Moriyama, Ken Ishibashi:
Computer Simulation Based Robustness Comparison Regarding Agents' Moving-Speeds in Two- and Three-Dimensional Herding Algorithms. SCIS&ISIS 2018: 1307-1314
2017
[c8]
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Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Investigation on introducing qubit convergence measure to QEA in maximum cut problem. IWCIA 2017: 73-78
2013
[c7]
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Shigeru Nakayama, Gang Peng, Ichiro Iimura:
Study on Quantum Parallel Processing by Adiabatic Quantum Computation in Simon Problem. PDCAT 2013: 84-89
2012
[c6]
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Shigeru Nakayama, Gang Peng, Ichiro Iimura:
Study on Quantum Parallel Processing by Adiabatic Quantum Computation in Bernstein-Vazirani Problem. PDCAT 2012: 678-682
2010
[c5]
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Shigeru Nakayama, Ichiro Iimura:
Experimental study on quantum-entangled cooperative behavior of two ants. NaBIC 2010: 566-571
2006
[c4]
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Ichiro Iimura, Toshiya Ito, Shigeru Nakayama:
A Study of Stimulative Queen Ant Strategy in Ant Colony Optimization Method. PDCAT 2006: 180-184
2005
[c3]
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Ichiro Iimura, Koji Hamaguchi, Toshiya Ito, Shigeru Nakayama:
A Study of Distributed Parallel Processing for Queen Ant Strategy in Ant Colony Optimization. PDCAT 2005: 553-557
[c2]
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Gang Peng, Ichiro Iimura, Takeshi Nakatsuru, Shigeru Nakayama:
Efficiency of Local Genetic Algorithm in Parallel Processing. PDCAT 2005: 620-623
2004
[c1]
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Gang Peng, Ichiro Iimura, Hidenobu Tsurusawa, Shigeru Nakayama:
Genetic Local Search Based on Genetic Recombination: A Case for Traveling Salesman Problem. PDCAT 2004: 202-212

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