求解多目标优化问题的改进遗传机器学习方法

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Improved Genetic Algorithm Based on Machine Learning for Solving Multiobjective Optimization Problems

LIU Ming-ji¹, LIU Shu-yuan¹,², LU Xian-rui¹

1. College of Mathematics, Jilin University, Changchun 130012, China; 2. Jilin Commercial College, Changchun 130015, China

Received:2005-05-25 Revised:1900-01-01 Online:2006-05-26 Published:2006-05-26
Contact: LU Xian-rui

Abstract

Abstract: An improved genetic algorithm based on machine learning is presented. In the improved algorithm we make genetic algorithm and machine learning proceed alternatively with the assistance of improved factors. For solving multiobjective optimization problems, the improved algorithm can find more and wider Paretooptimal solutions, with more stability, convergence, global search and without premature convergence.

Key words: genetic algorithm, machine learning, multi-objective optimization, Pareto-optimal solution

CLC Number:

O153.3

LIU Ming-ji, LIU Shu-yuan,, LU Xian-rui. Improved Genetic Algorithm Based on Machine Learning for Solving Multiobjective Optimization Problems[J].J4, 2006, 44(03): 338-342.

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Improved Genetic Algorithm Based on Machine Learning for Solving Multiobjective Optimization Problems

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