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Shigeru Nakayama
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2020 – today
- 2022
- [j16]Ichiro Iimura, Yoshifumi Moriyama, Shigeru Nakayama:
Isolation Strategy for Multi-Objective Quantum-Inspired Evolutionary Algorithm. Int. J. Comput. Intell. Stud. 11(3/4) (2022) - [j15]Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Isolation strategy for multi-objective quantum-inspired evolutionary algorithm. Int. J. Comput. Intell. Stud. 11(3/4) (2022) - 2021
- [c24]Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Consideration on Isolation Strategy for Multi-Objective Quantum-Inspired Evolutionary Algorithm. IWCIA 2021: 1-6
2010 – 2019
- 2018
- [j14]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) - [c23]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
- [c22]Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Investigation on introducing qubit convergence measure to QEA in maximum cut problem. IWCIA 2017: 73-78 - 2014
- [j13]Satoshi Ono
, Hiroshi Maeda, Kiyomasa Sakimoto, Shigeru Nakayama:
User-system cooperative evolutionary computation for both quantitative and qualitative objective optimization in image processing filter design. Appl. Soft Comput. 15: 203-218 (2014) - 2013
- [c21]Satoshi Ono
Self-adaptive niching differential evolution and its application to semi-fragile watermarking for two-dimensional barcodes on mobile phone screen. GECCO (Companion) 2013: 189-190 - [c20]Shigeru Nakayama, Gang Peng, Ichiro Iimura:
Study on Quantum Parallel Processing by Adiabatic Quantum Computation in Simon Problem. PDCAT 2013: 84-89 - 2012
- [j12]Satoshi Ono
A generation alternation model for user-system cooperative evolutionary computation. Artif. Life Robotics 17(2): 251-256 (2012) - [c19]Satoshi Ono
User-system cooperative evolution for Japanese anagram sentence generation. GECCO (Companion) 2012: 1529-1530 - [c18]Gang Peng, Li Liu, Kehan Zeng, Tian Li, Shigeru Nakayama:
Lung Cancer Detection in Chest X-Ray Images with Parallel Genetic Algorithm. PDCAT 2012: 189-192 - [c17]Shigeru Nakayama, Gang Peng, Ichiro Iimura:
Study on Quantum Parallel Processing by Adiabatic Quantum Computation in Bernstein-Vazirani Problem. PDCAT 2012: 678-682 - [c16]Satoshi Ono
A fundamental study on the effectiveness of Immune Algorithm for Multi-objective 0/1 knapsack problem. SCIS&ISIS 2012: 1660-1665 - 2011
- [j11]Mohamed El-fiky, Satoshi Ono
Study on discrete adiabatic quantum computation in 3-SAT problems. Artif. Life Robotics 16(1): 107-111 (2011) - 2010
- [j10]Satoshi Ono
A multi-agent-based approach for furniture arrangement. Artif. Life Robotics 15(2): 161-164 (2010) - [c15]Satoshi Ono
Fusion of interactive and non-interactive evolutionary computation for two-dimensional barcode decoration. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c14]Satoshi Ono
A system for decorating QR code with facial image based on Interactive Evolutionary Computation and Case-Based Reasoning. NaBIC 2010: 401-406 - [c13]Shigeru Nakayama, Ichiro Iimura:
Experimental study on quantum-entangled cooperative behavior of two ants. NaBIC 2010: 566-571 - [c12]Mohamed El-fiky, Satoshi Ono
Discrete adiabatic quantum computation with quadric variation. NaBIC 2010: 586-590
2000 – 2009
- 2009
- [j9]Satoshi Ono
Robust optimization using multi-objective particle swarm optimization. Artif. Life Robotics 14(2): 174-177 (2009) - [j8]Takehiko Iwakawa, Satoshi Ono
Development of programming language Espace and its application to parallel and distributed evolutionary computation. Artif. Life Robotics 14(2): 178-181 (2009) - [j7]Takahiro Imabeppu, Shigeru Nakayama, Satoshi Ono
Experimental Study on Pair Swap Strategy in Quantum-Inspired Evolutionary Algorithm. J. Adv. Comput. Intell. Intell. Informatics 13(2): 97-108 (2009) - [j6]Satoshi Ono
Animated Two-Dimensional Barcode Generation Using Optimization Algorithms - Redesign of Formulation, Operator, and Quality Evaluation. J. Adv. Comput. Intell. Intell. Informatics 13(3): 245-254 (2009) - [c11]Satoshi Ono
Multi-Objective Particle Swarm Optimization for robust optimization and its hybridization with gradient search. IEEE Congress on Evolutionary Computation 2009: 1629-1636 - 2008
- [j5]Satoshi Ono
Adaptive knowledge base with attribute weight and threshold adjustments for Japanese-to-Braille translations. Artif. Life Robotics 12(1-2): 59-64 (2008) - [j4]Takahiro Imabeppu, Shigeru Nakayama, Satoshi Ono
A study on a quantum-inspired evolutionary algorithm based on pair swap. Artif. Life Robotics 12(1-2): 148-152 (2008) - [j3]Satoshi Ono
Barcode design by evolutionary computation. Artif. Life Robotics 13(1): 238-241 (2008) - [j2]Adam Serag, Satoshi Ono
Using interactive evolutionary computation to generate creative building designs. Artif. Life Robotics 13(1): 246-250 (2008) - [c10]Satoshi Ono
Two-dimensional barcode decoration based on real-coded genetic algorithm. IEEE Congress on Evolutionary Computation 2008: 1068-1073 - [c9]Warangkhana Ngenkaew, Satoshi Ono
Pheromone-based concept in Ant Clustering. ISKE 2008: 308-312 - 2007
- [c8]Satoshi Ono
Multiple solution search based on hybridization of real-coded evolutionary algorithm and quasi-newton method. IEEE Congress on Evolutionary Computation 2007: 1133-1140 - [c7]Ramon Anibal Iriarte Casco, Shigeru Nakayama, Satoshi Ono, Hidetoshi Miyakawa:
Optimizing Virtual Learning Environments for Effective Educational Experiences. ICCE 2007: 653-654 - 2006
- [c6]Ichiro Iimura, Toshiya Ito, Shigeru Nakayama:
A Study of Stimulative Queen Ant Strategy in Ant Colony Optimization Method. PDCAT 2006: 180-184 - 2005
- [c5]Kazuhiro Takeda, Satoshi Ono
JSGrid: An Environment for Heterogenous Cluster Computing. PDCAT 2005: 507-512 - [c4]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 - [c3]Gang Peng, Ichiro Iimura, Takeshi Nakatsuru, Shigeru Nakayama:
Efficiency of Local Genetic Algorithm in Parallel Processing. PDCAT 2005: 620-623 - 2004
- [c2]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 - 2002
- [c1]Takaya Yuizono, Yu Wang, Kiminori Satoh, Shigeru Nakayama:
Study on individual recognition for ear images by using genetic local search. IEEE Congress on Evolutionary Computation 2002: 237-242
1990 – 1999
- 1993
- [j1]Shigeru Nakayama:
Defining an Appropriateness in the Technological Environment. AI Soc. 7(2): 163-169 (1993)
Coauthor Index
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