作者: E. Mezura-Montes , C.A. Coello
关键词:
摘要: This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints global problems. A review of some approaches developed under these is provided. Additionally, a comparison four representative techniques using well-known test functions shown. Finally, analysis results obtained, based on three points (quality, consistency and diversity) conclusions future trends are also