期刊
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
卷 23, 期 3, 页码 292-301出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2009.09.010
关键词
Multiobjective optimization; Bacterial chemotaxis; Bio-inspired techniques; Pareto Optimal Front; Chemotactical strategy optimization
类别
资金
- National University of Colombia (Universidad Nacional de Colombia)
- National Council of Technological and Scientific Development (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico-CNPq)
In this article a novel algorithm based on the chemotaxis process of Echerichia coil is developed to solve multiobjective optimization problems. The algorithm uses fast nondominated sorting procedure, communication between the colony members and a simple chemotactical strategy to change the bacterial positions in order to explore the search space to find several optimal solutions. The proposed algorithm is validated using 11 benchmark problems and implementing three different performance measures to compare its performance with the NSGA-II genetic algorithm and with the particle swarm-based algorithm NSPSO. (C) 2009 Elsevier Ltd. All rights reserved.
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