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Coevolution, Memory and Balance

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Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Search. Pages 1212-1216.

Abstract

This paper studies the role of two mechanismsmemory and balance - to exploit the arms race resulting from predator-prey interactions when solving a given problem. Memory ensures that individuals are not only well adapted to the current members of the opposite population but also to earlier generations of opponents. A balanced (co)evolution, on the other hand, adapts the speed of evolution (i.e. the reproduction rate) to the performance of a population. It leads to a steady progress in both populations. Indirectly, a balanced (co )evolution avoids a premature loss of genetic diversity. This in turn, diminishes the need for a long memory span. The current paper shows how both mechanisms can be incorporated in Coevolutionary Genetic Algorithms (CGAs). Empirical results support the importance of, and interaction between, both mechanisms.

Jan Paredis. 1999. Coevolution, Memory and Balance. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99. IJCAI, 1212–1216. https://ijcai.org/proceedings/1999/172
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