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 a...

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Bibliographic Details
Published in:Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering Journal of systems and control engineering, 1995-02, Vol.209 (1), p.53-61
Main Authors: Donne, M S, Tilley, D G, Richards, W
Format: Article
Language:English
Subjects:
Fluid power
Genetic algorithms
Mathematical problems
Mechanical engineering
Multiple objective analysis
Pareto optimization
Pareto optimum
Systems design
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Summary: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.
ISSN:0959-6518
2041-3041
DOI:10.1243/PIME_PROC_1995_209_362_02