Evolutionary Algorithms based speed optimization of servo motor in optical disc systems

Evolutionary Algorithms are inspired by biological and sociological motivations and can take care of optimality on rough, discontinuous and multimodal surfaces. During the last few decades, these algorithms have been successfully applied for solving numerical bench mark problems and real life problems. This paper presents the application of two popular Evolutionary Algorithms (EA); namely Particle Swarm Optimization (PSO) and Differential Evolution (DE) for optimizing the average bit rate of an optical disc servo system. Two optimization models are considered in the present study subject to the various constraints due to servo motor. The results obtained by PSO and DE are compared with the experimental and the design results given in the literature. Simulation results clearly show the superior performance of PSO and DE algorithms.

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