Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms

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

• Type: Conference
• Year: 2003
• Where: ENC
• Authors: Efrén Mezura-Montes, Carlos A. Coello Coello
• Keywords: ENC 2003, Global Optimization Problems, Main Multiobjective Optimization, Well-known Benchmark Test