Designing Multi-objective Variation Operators Using a Predator-Prey Approach

In this paper, we propose a new conceptual method for the design, investigation, and evaluation of multi-objective variation operators for evolutionary multi-objective algorithms. To this end, we apply a modified predator-prey model that allows an independent analysis of different operators. Using this model problem specific operators can be combined to more complex operators. Additionally, we review the simplex recombination, a new rotation-independent recombination scheme, and examine its impact concerning our design method. We show exemplarily as a first attempt the advantageous combination of several standard variation operators that lead to better results for selected test functions.

• Type: Conference
• Year: 2006
• Where: EMO
• Authors: Christian Grimme, Joachim Lepping
• Keywords: EMO 2006, Multi-objective Variation Operators, Optimization, Problem Specific Operators, Variation Operators