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Application of Good?Point Set Genetic Algorithm

Chunsheng Zhao

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Abstract

In this paper, on the basis of the good-point set theory, a good-point set genetic algorithm is designed. The new algorithm is applied to some typical combinatorial optimization problem. Being compared with traditional GA, the satisfied emulation results show that the good-point set GA not only improves efficiency and accuracy, but also effectively avoids the prematurity. [

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What this paper is about

In this paper, on the basis of the good-point set theory, a good-point set genetic algorithm is designed. The new algorithm is applied to some typical combinatorial optimization problem. Being compared with traditional GA, the satisfied emulation results show that the good-point set GA not only improves efficiency and accuracy, but also effectively avoids the prematurity. [

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Available abstract

In this paper, on the basis of the good-point set theory, a good-point set genetic algorithm is designed. The new algorithm is applied to some typical combinatorial optimization problem. Being compared with traditional GA, the satisfied emulation results show that the good-point set GA not only improves efficiency and accuracy, but also effectively avoids the prematurity. [

Key concepts: Computer science, Emulation, Set (abstract data type), Point (geometry), Genetic algorithm, Algorithm, Basis (linear algebra), Mathematical optimization

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