1. Multi-objective Optimization Based on Improved Differential Evolution Algorithm.
- Author
-
Shuqiang Wang and Jianli Ma
- Subjects
DIFFERENTIAL evolution ,COMPUTER algorithms ,MATHEMATICAL optimization ,EVOLUTIONARY algorithms ,EVOLUTIONARY computation - Abstract
On the basis of the fundamental differential evolution (DE), this paper puts forward several improved DE algorithms to find a balance between global and local search and get optimal solutions through rapid convergence. Meanwhile, a random mutation mechanism is adopted to process individuals that show stagnation behaviour. After that, a series of frequently-used benchmark test functions are used to test the performance of the fundamental and improved DE algorithms. After a comparative analysis of several algorithms, the paper realizes its desired effects by applying them to the calculation of single and multiple objective functions. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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