A Differential Evolution with Two Mutation Strategies and a Selection Based on an Improved Constraint-Handling Technique for Bilevel Programming Problems | Zendy

Hong Li | Zendy; Li Zhang | Zendy

Open Access

A Differential Evolution with Two Mutation Strategies and a Selection Based on an Improved Constraint-Handling Technique for Bilevel Programming Problems

Author(s) -

Hong Li,

Li Zhang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/820747

Subject(s) - mathematical optimization , constraint (computer aided design) , differential evolution , selection (genetic algorithm) , mutation , bilevel optimization , operator (biology) , constraint programming , computer science , differential (mechanical device) , mathematics , optimization problem , artificial intelligence , engineering , stochastic programming , biochemistry , chemistry , geometry , repressor , transcription factor , gene , aerospace engineering

Two mutation operators are used in the differential evolution algorithm to improve the diversity of population. An improved constraint-handling technique based on a comparison mechanism is presented, and then it is combined with the selection operator in the differential evolution algorithm to fulfill constraint handling and selection simultaneously. A differential evolution with two mutation strategies and a selection based on this improved constraint-handling technique is developed to solve bilevel programming problems. The simulation results on some linear and nonlinear bilevel programming problems show the effectiveness and efficiency of the proposed algorithm.

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