An evolutionary algorithm for constrained bi-objective optimization using radial slots

Authors:
Tapabrata Ray;Kok Sung Won
Affiliations:
School of Aerospace, Civil and Mechanical Engineering, University of New South Wales, Australian Defense Force Academy;Temasek Laboratories, National University of Singapore, Singapore
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Year:
2005

Citing 4
Cited 1

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Abstract

In this paper, we introduce an evolutionary algorithm for constrained, bi-objective optimization. The objective space is divided into a predefined number of radial slots and solutions compete with members in the same slot for existence. The procedure creates a uniform spread of solutions across the slots and they collectively form the nondominated front. Constraints are handled using a standard min-max formulation. We report the performace of our algorithm on a set of seven constrained, bi-objective test problems (CTP1 to CTP7) which have been known to pose difficulties to all existing multiobjective algorithms.