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Towards Enhancing Solution Space Diversity in Multi-Objective Optimization: a Hypervolume-Based Approach
2012
International Journal of Artificial Intelligence & Applications
Diversity is an important notion in multi-objective evolutionary algorithms (MOEAs) and a lot of researchers have investigated this issue by means of appropriate methods. However most of evolutionary multi-objective algorithms have attempted to take control on diversity in the objective space only and maximized diversity of solutions (population) on Pareto-front. Nowadays due to importance of Multiobjective optimization in industry and engineering, most of the designers want to find a diverse
doi:10.5121/ijaia.2012.3106
fatcat:7cy3y3apwfa3nem637vl4fqlfq