NDLI: Differential evolution vs. the functions of the 2/sup nd/ ICEO

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1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360)

Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97)

Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97)

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Proceedings of IEEE International Conference on Evolutionary Computation

Proceedings of 1995 IEEE International Conference on Evolutionary Computation

Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence

Differential evolution vs. the functions of the 2/sup nd/ ICEO

Content Provider	IEEE Xplore Digital Library
Author	Price, K.V.
Copyright Year	1997
Abstract	Differential evolution (DE) is a simple evolutionary algorithm for numerical optimization whose most novel feature is that it mutates vectors by adding weighted, random vector differentials to them. A new version of the DE algorithm is described and the results of its attempts to optimize the 7 real-valued functions of the 2/sup nd/ ICEO are tabulated. DE succeeded in finding each function's global minimum, although the number of evaluations needed in one instance was unacceptably high. Despite this lone difficulty, DE's speed of execution across the remaining test bed, in addition to its simplicity, robustness and ease of use, suggest that it is a valuable tool for continuous numerical optimization.
Starting Page	153
Ending Page	157
File Size	451569
Page Count	5
File Format	PDF
ISBN	0780339495
DOI	10.1109/ICEC.1997.592287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-04-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neodymium Annealing Testing Genetic mutations Polynomials Costs Evolutionary computation Robustness Algorithm design and analysis History
Content Type	Text
Resource Type	Article

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