Comparing a coevolutionary genetic algorithm for multiobjective optimization

We present results from a study comparing a recently developed coevolutionary genetic algorithm (CGA) against a set of evolutionary algorithms using a suite of multiobjective optimization benchmarks. The CGA embodies competitive coevolution and employs a simple, straightforward target population rep...

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Bibliographische Detailangaben

Hauptverfasser:	Lohn, J.D., Kraus, W.F., Haith, G.L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Automatic testing Encoding Evolutionary computation Genetic algorithms Hardware Organisms Performance evaluation
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