Genetic Local Search Based on Genetic Recombination: A Case for Traveling Salesman Problem. - Gang Peng; Ichiro Iimura; Hidenobu Tsurusawa; Shigeru Nakayama (PDCAT, 2004)

A Study of Distributed Parallel Processing for Queen Ant Strategy in Ant Colony Optimization. - Ichiro Iimura; Koji Hamaguchi; Toshiya Ito; Shigeru Nakayama (PDCAT, 2005)

Efficiency of Local Genetic Algorithm in Parallel Processing. - Gang Peng; Ichiro Iimura; Takeshi Nakatsuru; Shigeru Nakayama (PDCAT, 2005)

A Study of Stimulative Queen Ant Strategy in Ant Colony Optimization Method. - Ichiro Iimura; Toshiya Ito; Shigeru Nakayama (PDCAT, 2006)

Experimental study on quantum-entangled cooperative behavior of two ants. - Shigeru Nakayama; Ichiro Iimura (NaBIC, 2010)

Study on Quantum Parallel Processing by Adiabatic Quantum Computation in Bernstein-Vazirani Problem. - Shigeru Nakayama; Gang Peng; Ichiro Iimura (PDCAT, 2012)

Study on Quantum Parallel Processing by Adiabatic Quantum Computation in Simon Problem. - Shigeru Nakayama; Gang Peng; Ichiro Iimura (PDCAT, 2013)

Investigation on introducing qubit convergence measure to QEA in maximum cut problem. - Yoshifumi Moriyama; Ichiro Iimura; Shigeru Nakayama (IWCIA, 2017)

Initial consideration on designing a system to support science communication and continuous programming learning. - Yuki Kiridoshi; Ken Ishibashi; Kazutake Kozono; Ichiro Iimura (ICETC, 2018)

Computer Simulation Based Robustness Comparison Regarding Agents' Moving-Speeds in Two- and Three-Dimensional Herding Algorithms. - Hiroyuki Hoshi; Ichiro Iimura; Shigeru Nakayama; Yoshifumi Moriyama; Ken Ishibashi (SCIS&ISIS, 2018)

Search performance analysis of qubit convergence measure for quantum-inspired evolutionary algorithm introducing on maximum cut problem. - Yoshifumi Moriyama; Ichiro Iimura; Shigeru Nakayama (Int. J. Comput. Intell. Stud., 2018)

Consideration on Isolation Strategy for Multi-Objective Quantum-Inspired Evolutionary Algorithm. - Yoshifumi Moriyama; Ichiro Iimura; Shigeru Nakayama (IWCIA, 2021)

Isolation strategy for multi-objective quantum-inspired evolutionary algorithm. - Yoshifumi Moriyama; Ichiro Iimura; Shigeru Nakayama (Int. J. Comput. Intell. Stud., 2022)