A New Approach of Genetic Chromodynamics

Genetic Algorithms are general purpose optimization/search techniques relying on a biological metaphor. They usually detect a unique optimum, but many real world prob- lems need multiple optima. Genetic Chromodynamics is a strategy for preventing premature convergence and detecting multiple optimal solutions. A new technique of applying genetic operators is proposed. The Parallel Mutation Based Genetic Chromodynamics (PMGC) improves the local search from the standard approach and combines it with the global search, by using an appropriate mutation strategy.