NDLI: Fitness based Differential Evolution

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Fitness based Differential Evolution

Content Provider	Springer Nature Link
Author	Sharma, Harish Bansal, Jagdish Chand Arya, K. V.
Copyright Year	2012
Abstract	Differential Evolution (DE) is a well known and simple population based probabilistic approach for global optimization. It has reportedly outperformed a few Evolutionary Algorithms and other search heuristics like Particle Swarm Optimization when tested over both benchmark and real world problems. But, DE, like other probabilistic optimization algorithms, sometimes exhibits premature convergence and stagnates at suboptimal point. In order to avoid stagnation behavior while maintaining a good convergence speed, a new position update process is introduced, named fitness based position update process in DE. In the proposed strategy, position of the solutions are updated in two phases. In the first phase all the solutions update their positions using the basic DE and in the second phase, all the solutions update their positions based on their fitness. In this way, a better solution participates more times in the position update process. The position update equation is inspired from the Artificial Bee Colony algorithm. The proposed strategy is named as Fitness Based Differential Evolution ( $$FBDE$$ ). To prove efficiency and efficacy of $$FBDE$$ , it is tested over 22 benchmark optimization problems. A comparative analysis has also been carried out among proposed FBDE, basic DE, Simulated Annealing Differential Evolution and Scale Factor Local Search Differential Evolution. Further, $$FBDE$$ is also applied to solve a well known electrical engineering problem called Model Order Reduction problem for Single Input Single Output Systems.
Starting Page	303
Ending Page	316
Page Count	14
File Format	PDF
ISSN	18659284
Journal	Memetic Computing
Volume Number	4
Issue Number	4
e-ISSN	18659292
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-11-06
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Evolutionary optimization Differential Evolution Fitness based position update Model order reduction Bioinformatics ApplicationMathematics/Computational Methods of Engineering Statistical Physics, Dynamical Systems and Complexity Applications of Mathematics Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Computer Science

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