A New Evolutionary Adaptive Representation Paradigm
نویسندگان
چکیده
In this paper a new evolutionary paradigm is proposed. A technique called Adaptive Representation Evolutionary Algorithm (AREA) based on this paradigm is designed. AREA involves dynamic alphabets for encoding solutions. Proposed adaptive representation is more compact than binary representation. Mutation is the unique variation operator. Mutations are usually more aggressive when higher alphabets are used. Therefore the proposed encoding ensures an efficient exploration of the search space. Numerical experiments seem to indicate that APA process better than the best multiobjective evolutionary algorithms. An AREA technique is used for solving multiobjective optimization problems. The resulting algorithm is called Adaptive Pareto Algorithm (APA).
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