Adaptation and Self-Organization in Evolutionary Algorithms

Details Adaptation and Self-Organization in Evolutionary Algorithms Adaptation and Self-Organization in Evolutionary Algorithms

2009-07-03

arxiv.org/abs/0907.0516v1

Computer Science

Neural and Evolutionary Computing

PhD Thesis

Scientific paper

Abbreviated Abstract: The objective of Evolutionary Computation is to solve practical problems (e.g. optimization, data mining) by simulating the mechanisms of natural evolution. This thesis addresses several topics related to adaptation and self-organization in evolving systems with the overall aims of improving the performance of Evolutionary Algorithms (EA), understanding its relation to natural evolution, and incorporating new mechanisms for mimicking complex biological systems.

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