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Erschienen in:
1998 | OriginalPaper | Buchkapitel
Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion
verfasst von : J. Riquelme, M. A. Ridao, E. F. Camacho, M. Toro
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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A method based on genetic algorithms for obtaining coordinated motion plans of manipulator robots is presented. A decoupled planning approach has been used; that is, the problem has been decomposed into two subproblems: path planning and trajectory planning. This paper focuses on the second problem. The generated plans minimize the total motion time of the robots along their paths. The optimization problem is solved by evolutionary algorithms using a variable-length individuals codification and specific genetic operators.