2005Duanya jishuRequires access

Optimized layout of rectangular workpiece using mixed genetic algorithm

Zheng Gui-rong

Open publisher page 1 citations

Abstract

Two dimension layout is a typical combination optimization question.Combining genetic algorithm with simulated annealing algorithm, a mixed genetic algorithm of layout optimization for large quantities and many kinds of rectangular parts is proposed in this paper. Combined with filling algorithm based on the best utilization of local material, the global optimal layout solution is found. From this algorithm,the author works out an useful layout software and gives a computation example .It is proved that this method is an useful method with high efficiency.

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What this paper is about

Two dimension layout is a typical combination optimization question.Combining genetic algorithm with simulated annealing algorithm, a mixed genetic algorithm of layout optimization for large quantities and many kinds of rectangular parts is proposed in this paper. Combined with filling algorithm based on the best utilization of local material, the global optimal layout solution is found. From this algorithm,the author works out an useful layout software and gives a computation example .It is proved that this method is an useful method with high efficiency.

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Available abstract

Two dimension layout is a typical combination optimization question.Combining genetic algorithm with simulated annealing algorithm, a mixed genetic algorithm of layout optimization for large quantities and many kinds of rectangular parts is proposed in this paper. Combined with filling algorithm based on the best utilization of local material, the global optimal layout solution is found. From this algorithm,the author works out an useful layout software and gives a computation example .It is proved that this method is an useful method with high efficiency.

Key concepts: Simulated annealing, Genetic algorithm, Computation, Dimension (graph theory), Algorithm, Page layout, Computer science, Software

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