A Simple But Effective Evolutionary Algorithm for Complicated Optimization Problems
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HPCES021.pdf
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64.32 KB
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Adobe PDF
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Author(s)
Xu, Y.G.
Liu, Guirong
Date Issued
January 2002
Series/Report no.
High Performance Computation for Engineered Systems (HPCES);
Abstract
A simple but effective evolutionary algorithm is proposed in this paper for solving complicated optimization problems. The new algorithm presents two hybridization operations incorporated with the conventional genetic algorithm. It takes only 4.1% ~ 4.7% number of function evaluations required by the conventional genetic algorithm to obtain global optima for the benchmark functions tested. Application example is also provided to demonstrate its effectiveness.
Subjects
evolutionary algorithm
optimization
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