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2014 IEEE Symposium on Differential Evolution (SDE) [electronic resource]

Corporate Author
IEEE Staff
Published
Piscataway : IEEE Dec. 2014
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Summary
Annotation Differential Evolution (DE) is arguably one of the most powerful stochastic real parameter optimization algorithms in current use DE is a very simple algorithm, requiring only a few lines of code in most of the existing programming languages Additionally, it has very few control parameters Nonetheless, DE exhibits remarkable performance in optimizing a wide variety of optimization problems in terms of final accuracy, convergence speed, and robustness as evidenced by the consistently excellent performance in all of the CEC competitions (http www3 ntu edu sg home epnsugan) The last decade has witnessed a rapidly growing research interest in DE as demonstrated by the significant increase in the number of research publications on DE in the forms of monographs, edited volumes and archival articles Although research on and with DE has reached an impressive state, there are still many open problems and new application areas are continually emerging for the algorithm
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ISBN
9781479944606
1479944602 (Spiral)
Audience Notes
Scholarly & Professional IEEE
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