[E-BOOK] Adaptive Differential Evolution: A Robust Approach to Multimodal Problem Optimization: 1 (Adaptation, Learning, and Optimization)
• Jingqiao Zhang, Arthur C. Sanderson •
2009-07-09 2009-07-09File Name: B00FC8OSNK
0 of 0 people found the following review helpful. good referencesBy G. OrrGenerally I would give this book high marks for its overview of algorithms (though it is not exhaustive), and its description of the JADE algorithm. The nomenclature could be clearer, and the figures are almost impossible to read. One needs a magnifying glass to see some of the captions. These figures were probably photocopied from the autor's thesis, and they should have been generated with larger fonts to begin with, orFrom the Back CoverOptimization problems are ubiquitous in academic research and real-world applications wherever such resources as space, time and cost are limited. Researchers and practitioners need to solve problems fundamental to their daily work which, however, may show a variety of challenginThe 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. [PDF.ot28] Adaptive Differential Evolution: A Robust Approach to Multimodal Problem Optimization: 1 (Adaptation, Learning, and Optimization) Rating: 4.84 (648 Votes)
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You can specify the type of files you want, for your device.Adaptive Differential Evolution: A Robust Approach to Multimodal Problem Optimization: 1 (Adaptation, Learning, and Optimization) | Jingqiao Zhang, Arthur C. Sanderson. Which are the reasons I like to read books. Great story by a great author.
