Incremental Co-Evolution of Organisms: A New Approach for Optimization and Discovery of Strategies
暂无分享,去创建一个
In the field of optimization and machine learning techniques, some very efficient and promising tools like Genetic Algorithms (GAs) and Hill-Climbing have been designed. In this same field, the Evolving Non-Determinism (END) model presented in this paper proposes an inventive way to explore the space of states that, using the simulated “incremental” co-evolution of some organisms, remedies some drawbacks of these previous techniques and even allow this model to outperform them on some difficult problems.
[1] S. Levy. Artificial life: the quest for a new creation , 1992 .
[2] W. Daniel Hillis,et al. Co-evolving parasites improve simulated evolution as an optimization procedure , 1990 .
[3] Conor Ryan,et al. Pygmies and civil servants , 1994 .
[4] M. V. Wilkes,et al. The Art of Computer Programming, Volume 3, Sorting and Searching , 1974 .
[5] Richard K. Belew,et al. Evolving Aesthetic Sorting Networks Using Developmental Grammars , 1993, ICGA.