Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
15 Evaluation of Strategies for Co-Evolutionary Genetic Algorithms: dLCGA Case Study
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Dafo, a multi-agent framework dedicated to distributed coevolutionary genetic algorithms (CGAs) is used to evaluate dLCGA, a new dynamic competitive coevolutionary genetic algorithm. We compare the performance of dLCGA to other known classes of CGAs for the Inventory Control Parameter optimization problem (ICP) and in particular show how it improves the results of the static version of LCGA.