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- W2356642165 abstract "Under a very complex multiple constrained condition to grab geometry problem with manipulator. Through the analysis of actual problem,it is transformed to traveling salesman problem. This paper introduced the traveling salesman problem,the genetic algorithm and the algorithm implementation process. The paper proposed a new method of converting multiple constraints to constrained matrix in full consideration of the characteristics of genetic algorithm and the constrained condition. Then a path planning problem with multiple constraints conditions is converted to a kind of conventional traveling salesman problem,effectively simplify the complexity of the problem and make full use of the search ability of genetic algorithm,planning out the optimal grab path with genetic algorithm. Software simulation and experimental results show that the algorithm can obtain ideal results." @default.
- W2356642165 created "2016-06-24" @default.
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- W2356642165 date "2015-01-01" @default.
- W2356642165 modified "2023-09-26" @default.
- W2356642165 title "Optimal Path Planning Based on Genetic Algorithm for Sorting Robot" @default.
- W2356642165 hasPublicationYear "2015" @default.
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