Performance analysis of a multi-phase genetic algorithm in function optimization

被引：0
|
作者：
Jayalakshmi, G.A.
Srinivasan, K.
Rajaram, R.
机构：
[1] Department of CSE, Thiagarajar College of Engineering, Madurai 625 015
[2] Department of IT, Thiagarajar College of Engineering, Madurai 625 015
来源：
Journal of the Institution of Engineers (India), Part CP: Computer Engineering Division | 2004年 / 85卷 / 02期
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摘要：
This paper presents a new method for function optimization. The method uses a multi-phase genetic algorithm (MPGA). The MPGA uses a simple GA with many phases. Each phase is initialized with a set of best individuals from the previous phase and a random set of individuals. The multiple phases are introduced in a simple GA to realize the effect of multiple initializations. The proposed method is implemented and tested for a set of 4 standard test functions. The results show that the initializations in the intermediate levels help converge quicker.
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页码：62 / 67
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