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Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems | IEEE Conference Publication | IEEE Xplore

Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems

Publisher: IEEE

Abstract:

Over the last two decades, many Differential Evolution (DE) strategies have been introduced for solving Optimization Problems. Due to the variability of the characteristi...View more

Abstract:

Over the last two decades, many Differential Evolution (DE) strategies have been introduced for solving Optimization Problems. Due to the variability of the characteristics in optimization problems, no single DE algorithm performs consistently over a range of problems. In this paper, for a better coverage of problem characteristics, we introduce a DE algorithm framework that uses multiple search operators in each generation. The appropriate mix of the search operators, for any given problem, is determined adaptively. The proposed algorithm has been applied to solve the set of real world numerical optimization problems introduced for a special session of CEC2011.
Date of Conference: 05-08 June 2011
Date Added to IEEE Xplore: 14 July 2011
ISBN Information:

ISSN Information:

Publisher: IEEE
Conference Location: New Orleans, LA, USA

References

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