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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:WANG Dong-hua,LIU Zhan-sheng.A new evolutionary algorithm for constrained optimization problems[J].Journal of Harbin Institute Of Technology(New Series),2011,18(2):8-12.DOI:10.11916/j.issn.1005-9113.2011.02.002.
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A new evolutionary algorithm for constrained optimization problems
Author NameAffiliation
WANG Dong-hua School of Energy Science and Engineering,Harbin Institute of Technology,Harbin 150001,China 
LIU Zhan-sheng School of Energy Science and Engineering,Harbin Institute of Technology,Harbin 150001,China 
Abstract:
To solve single-objective constrained optimization problems,a new population-based evolutionary algorithm with elite strategy(PEAES) is proposed with the concept of single and multi-objective optimization.Constrained functions are combined to be an objective function.During the evolutionary process,the current optimal solution is found and treated as the reference point to divide the population into three sub-populations:one feasible and two infeasible ones.Different evolutionary operations of single or multi-objective optimization are respectively performed in each sub-population with elite strategy.Thirteen famous benchmark functions are selected to evaluate the performance of PEAES in comparison of other three optimization methods.The results show the proposed method is valid in efficiency,precision and probability for solving single-objective constrained optimization problems.
Key words:  constrained optimization problems  evolutionary algorithm  population-based  elite strategy  single and multi-objective optimization
DOI：10.11916/j.issn.1005-9113.2011.02.002
Clc Number:O224
Fund:

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