论文信息 - The Use of Multi-Objective Parallel Genetic Algorithms to Aid Fluid Power System Design

The Use of Multi-Objective Parallel Genetic Algorithms to Aid Fluid Power System Design

This paper describes the use of parallel genetic algorithms to automate the component sizing stage of the design process. Experiences of applying the method to fluid power systems are discussed and problems encountered are highlighted. Refinements to the standard parallel genetic algorithm for use as a single objective optimizer and its adaptation for use as a method to locate Pareto optimal solutions of multi-objective optimization problems are described. The multi-objective algorithm is used to optimize a mathematical problem and two fluid power circuits.

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