Coevolution, Memory and Balance
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.
@inproceedings{ijcai1999p172,
title = {Coevolution, Memory and Balance},
author = {Paredis, Jan},
booktitle = {Proceedings of the Sixteenth International Joint Conference on
Artificial Intelligence, {IJCAI-99}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Thomas Dean},
pages = {1212--1216},
year = {1999},
note = {Search},
url = {https://ijcai.org/proceedings/1999/172},
}
TY - CPAPER TI - Coevolution, Memory and Balance AU - Paredis, Jan T2 - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 PB - International Joint Conferences on Artificial Intelligence PY - 1999 SP - 1212 EP - 1216 UR - https://ijcai.org/proceedings/1999/172 ER -Copied
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