Existing coevolutionary techniques can be divided into two main classes: competitive coevolution and cooperative coevolution. Regardless of the approach adopted, the design of coevolutionary algorithms for MO optimization requires one to address many issues that are unique to the MO problems. In this aspect, insights such as incorporation of various elitist and diversity mechanisms obtained from the design of MOEAs can be similarly exploited in the design of MOCAs. On the other hand, successful implementation of coevolution requires one to consider various design issues [49], such as problem decomposition, handling of parameter interactions, and credit assignment. The issues of problem decomposition and parameter interactions are often problem dependent, and the approaches for solving these issues may not be knowna priori. These factors motivated the work for an alternative coevolutionary model presented in this paper.

coevolutionary algorithm.pdf

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