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Collective genetic algorithm and electro-optical implementation

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Abstract

The main idea of the collective genetic algorithm (CGA) is to produce multi-chromosome interaction during the offspring generation process. This new kind of genetic operator plus a new method for updating the population after the offspring creation increases the intrinsic parallelism of genetic algorithms. This particular feature is particularly useful for implementation in a hybrid electro-optical architecture. Representing the genotypes on a SLM makes it possible to perform time consuming operations such as crossover and selection in a single step of optical operation. Experiments were performed with coherent as well as incoherent light.

© 1992 Optical Society of America

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