Hiroyuki Narihisa

According to our database, Hiroyuki Narihisa authored at least 26 papers between 1991 and 2008.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2008

Efficient Incremental Learning with Self-Organizing Neural Grove.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of The 2008 International Conference on Data Mining, 2008

2007

Efficient Incremental Learning Using Self-Organizing Neural Grove.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Iterated k-Opt Local Search for the Maximum Clique Problem.

Kengo Katayama, Masashi Sadamatsu, Hiroyuki Narihisa

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2007

Variable depth search and iterated local search for the node placement problem in multihop WDM lightwave networks.

Kengo Katayama, Hiroshi Yamashita, Hiroyuki Narihisa

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Exponential Evolutionary Programming Without Self-Adaptive Strategy Parameter.

Hiroyuki Narihisa, Takahiro Taniguchi, Mayumi Ohta, Kengo Katayama

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Evolutionary Programming With Only Using Exponential Mutation.

Hiroyuki Narihisa, Keiko Kohmoto, Takahiro Taniguchi, Mayumi Ohta, Kengo Katayama

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Parallel performance of ensemble self-generating neural networks for chaotic time series prediction problems.

Hirotaka Inoue, Hiroyuki Narihisa

Syst. Comput. Jpn., 2005

An effective local search for the maximum clique problem.

Kengo Katayama, Akihiro Hamamoto, Hiroyuki Narihisa

Inf. Process. Lett., 2005

Reinforcement learning agents with primary knowledge designed by analytic hierarchy process.

Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narihisa

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Self-organizing neural grove: effective multiple classifier system with pruned self-generating neural trees.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Efficiency of Parallel Exponential Evolutionary Programming.

Hiroyuki Narihisa, Takahiro Taniguchi, Michiaki Thuda, Kengo Katayama

Proceedings of the 34th International Conference on Parallel Processing Workshops (ICPP 2005 Workshops), 2005

2004

Solving the maximum clique problem by k-opt local search.

Kengo Katayama, Akihiro Hamamoto, Hiroyuki Narihisa

Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural Trees.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of the Parallel Problem Solving from Nature, 2004

2003

Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Optimizing a Multiple Classifier System.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

2001

Performance of simulated annealing-based heuristic for the unconstrained binary quadratic programming problem.

Kengo Katayama, Hiroyuki Narihisa

Eur. J. Oper. Res., 2001

Parallel and Distributed Mining with Ensemble Self-Generating Neural Networks.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of the Eigth International Conference on Parallel and Distributed Systems, 2001

Efficient Hybrid Neural Network for Chaotic Time Series Prediction.

Hirotaka Inoue, Yoshinobu Fukunaga, Hiroyuki Narihisa

Proceedings of the Artificial Neural Networks, 2001

On fundamental design of parthenogenetic algorithm for the binary quadratic programming problem.

Kengo Katayama, Hiroyuki Narihisa

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000

Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble Averaging.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of the Knowledge Discovery and Data Mining, 2000

Predicting Chaotic Time Series by Ensemble Self-Generating Neural Networks.

Hirotaka Inoue, Hiroyuki Narihisa

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search Algorithm.

Kengo Katayama, Masafumi Tani, Hiroyuki Narihisa

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999

Performance analysis for crossover operators of genetic algorithm.

Kengo Katayama, Hisayuki Hirabayashi, Hiroyuki Narihisa

Syst. Comput. Jpn., 1999

A New Iterated Local Search Algorithm Using Genetic Crossover for the Traveling Salesman Problem.

Kengo Katayama, Hiroyuki Narihisa

Proceedings of the 1999 ACM Symposium on Applied Computing, 1999

1991

Software reliability growth model for testing-domain.

Hiroshi Ohtera, Shigeru Yamada, Hiroyuki Narihisa

Syst. Comput. Jpn., 1991