By Anyong Qing (auth.), Anyong Qing, Ching Kwang Lee (eds.)
Differential evolution has confirmed itself an easy whereas very robust stochastic international optimizer. it's been utilized to unravel difficulties in lots of clinical and engineering fields. This e-book makes a speciality of functions of differential evolution in electromagnetics to show off its success and strength in fixing synthesis and layout difficulties in electromagnetics.Topics coated during this e-book include:• A entire up to date literature survey on differential evolution• a scientific description of differential evolution• A topical evaluation on purposes of differential evolution in electromagnetics• 5 new program examplesThis booklet is perfect for electromagnetic researchers and other people in differential evolution neighborhood. it's also a priceless reference ebook for researchers and scholars within the optimization or electric and digital engineering box. moreover, managers and engineers in correct fields will locate it a invaluable introductory guide.
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Additional info for Differential Evolution in Electromagnetics
Studies in Computational Intelligence, vol. 75. Springer, Berlin (2007) 14 A. : Advances in Evolutionary Computing for System Design. Studies in Computational Intelligence, vol. 66. : Computational Intelligence Based on Lattice Theory. Studies in Computational Intelligence, vol. 67. , Michalewicz, Z. ): Parameter Setting in Evolutionary Algorithms. Studies in Computational Intelligence, vol. 54. , Pedrycz, W. ): Analysis and Design of Intelligent Systems using Soft Computing Techniques-Advances in Soft Computing, vol.
In: 2007 IEEE Congress Evolutionary Computation, Singapore, september 25-28, pp. : Differential evolution: Difference vectors and movement in solution space. In: IEEE Congress Evolutionary Computation, Trondheim, Norway, May 18-21, pp. : On stagnation of the differential evolution algorithm. In: 6th Int. Mendel Conf. Soft Computing, Brno, Czech Republic, June 7-9, pp. : A study of search technique in differential evolution. In: 7th Int. MENDEL Conf. Soft Computing, Brno, Czech Republic, June 6-8, pp.
Exploitation of sub-populations in evolution strategies for improved numerical optimization. , Bloomington, Indiana, April 23-25, pp. : Dynamic optimization of a continuous polymer reactor using a modified differential evolution algorithm. : Electromagnetic imaging of circular-cylindrical conductors and tunnels using a differential evolution algorithm. : Evolutionary computation strategy for optimization of an alkylation reaction. In: Int. Symp. : Differential evolution for the optimal design of heat exchangers.