Conference Proceeding

Numerical optimization using organizational evolutionary algorithm

Key Lab for Radar Signal Process., Xidian Univ., Xi'an, China;
10/2003; ISBN: 0-7695-1957-1 pp.284- 289 In proceeding of: Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Source: IEEE Xplore

ABSTRACT In this paper, a new algorithm, organizational evolutionary algorithm (OEA), is proposed to deal with both unconstrained and constrained optimization problems. In OEA, the evolutionary operations do not act on individuals directly, but on organization. Therefore, three evolutionary operators are designed for organizations. In experiments, OEA is tested on 3 unconstrained and 6 constrained benchmark problems, and compared with three recent algorithms. The results show that OEA outperforms the three other algorithms both in the quality of solution and the computational cost.

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Keywords

3 unconstrained
 
6 constrained benchmark problems
 
algorithms
 
constrained optimization problems
 
evolutionary operations
 
evolutionary operators
 
new algorithm
 
recent algorithms
 
unconstrained