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Adaptive Differential Evolution
Zhang, Jingqiao; Sanderson, Arthur C.
€ 127.73
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Description for Adaptive Differential Evolution
Paperback. The fundamental theme of this book is theoretical study of differential evolution and algorithmic analysis of parameter adaptive schemes. The book offers real-world insights into a variety of large-scale complex industrial applications. Series: Adaptation, Learning, and Optimization. Num Pages: 164 pages, 22 black & white tables, biography. BIC Classification: KJT; PBW; TBJ; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 9. Weight in Grams: 284.
I ?rst met Jingqiao when he had just commenced his PhD research in evolutionary algorithms with Arthur Sanderson at Rensselaer. Jingqiao's goals then were the investigation and development of a novel class of se- adaptivedi?erentialevolutionalgorithms,later calledJADE. I had remarked to Jingqiao then that Arthur always appreciated strong theoretical foun- tions in his research, so Jingqiao's prior mathematically rigorous work in communications systems would be very useful experience. Later in 2007, whenJingqiaohadcompletedmostofthetheoreticalandinitialexperimental work on JADE, I invited him to spend a year at GE Global Research where he applied his developments to several interesting and important real-world problems. Most evolutionary algorithm ... Read more
I ?rst met Jingqiao when he had just commenced his PhD research in evolutionary algorithms with Arthur Sanderson at Rensselaer. Jingqiao's goals then were the investigation and development of a novel class of se- adaptivedi?erentialevolutionalgorithms,later calledJADE. I had remarked to Jingqiao then that Arthur always appreciated strong theoretical foun- tions in his research, so Jingqiao's prior mathematically rigorous work in communications systems would be very useful experience. Later in 2007, whenJingqiaohadcompletedmostofthetheoreticalandinitialexperimental work on JADE, I invited him to spend a year at GE Global Research where he applied his developments to several interesting and important real-world problems. Most evolutionary algorithm ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
164
Condition
New
Series
Adaptation, Learning, and Optimization
Number of Pages
164
Place of Publication
Berlin, Germany
ISBN
9783642260216
SKU
V9783642260216
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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