石渕 久生

Computational Intelligence 

UNESCO-EOLSS 2015年12月

Adaptation of scalarizing functions in MOEA/D: An adaptive scalarizing function-based multiobjective evolutionary algorithm 

Lecture Notes in Computer Science 5467: Evolutionary Multi-Criterion Optimization - EMO 2009, Springer, Berlin 2009年

Computational Intelligence: Collaboration, Fusion and Emergence(jointly worked) Part:Multiobjective Genetic Fuzzy Systems 

Springer, Berlin 2009年

Multi-Objective Memetic Algorithms(jointly worked) Part:Implementation of Multiobjective Memetic Algorithms for Combinatorial Optimization Problems: A Knapsack Problem Case Study 

Springer, Berlin 2009年

Memeticアルゴリズム(共著) 

計測と制御 2008年

Use of local ranking in cellular genetic algorithms with two neighborhood structures 

Lecture Notes in Computer Science 5361: Simulated Evolution and Learning, Springer, Berlin 2008年

Parallel approaches for multiobjective optimization 

Lecture Notes in Artificial Intelligence 5252: Multiobjective Optimization: Interactive and Evolutionary Approaches, Springer, Berlin 2008年

Effects of diversity measures on the design of ensemble classifiers by multiobjective genetic fuzzy rule selection with a multi-classifier coding scheme 

Lecture Notes in Artificial Intelligence 5271: Hybrid Artificial Intelligence Systems - HAIS 2008, Springer, Berlin 2008年

Use of heuristic local search for single-objective optimization in multiobjective memetic algorithms 

Lecture Notes in Computer Science 5199: Parallel Problem Solving from Nature - PPSN X, Springer, Berlin 2008年

Examining the effect of elitism in cellular genetic algorithms using two neighborhood structures 

Lecture Notes in Computer Science 5199: Parallel Problem Solving from Nature - PPSN X, Springer, Berlin 2008年

Computational Intelligence: A Compendium(jointly worked) Part:Evolutionary Multiobjective Design of Fuzzy Rule-based Classifiers 

Springer, Berlin 2008年

Multi-objective Evolutionary Algorithms for Knowledge Discovery from Databases(jointly worked) Part:Evolutionary Multiobjective Rule Selection for Classification Rule Mining 

Springer, Berlin 2008年

Multi-Objective Problem Solving from Nature: From Concepts to Applications(jointly worked) Part:Multiobjective Classification Rule Mining 

Springer, Berlin 2008年

進化型多目的最適化(共著) 

メタヒューリスティクスと応用 電気学会 2007年

Memeticアルゴリズム(共著) 

メタヒューリスティクスと応用 電気学会 2007年

Prescreening of candidate rules using association rule mining and Pareto-optimality in genetic rule selection 

Lecture Notes in Computer Science 4693: Knowledge-Based Intelligent Information and Engineering Systems - KES 2007, Springer, Berlin 2007年

Optimization of scalarizing functions through evolutionary multiobjective optimization 

Lecture Notes in Computer Science 4403: Evolutionary Multi-Criterion Optimization - EMO 2007, Springer, Berlin 2007年

Hybrid Evolutionary Algorithms(edited) 

Springer, Berlin 2007年

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision(jointly worked) Part:Pattern Classification with Linguistic Rules 

Springer, Berlin 2007年

Analysis and Design of Intelligent Systems using Soft Computing Techniques (Advances in Soft Computing 41)(jointly worked) Part:Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection 

Springer, Berlin 2007年