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Godfrey C. Onwubolu has written 5 work(s)
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Paperback:
9781498731195 | Pap/psc edition (CRC Pr I Llc, September 16, 2016), cover price $139.95
Hardcover:
9783642015298 | Springer Verlag, July 1, 2009, cover price $239.00 | About this edition: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems.
Paperback:
9783642101823 | Springer Verlag, July 1, 2009, cover price $239.00
Paperback:
9780750663793 | Butterworth-Heinemann, June 28, 2005, cover price $87.95
Product Description: Presently, general-purpose optimization techniques such as Simulated Annealing, and Genetic Algorithms, have become standard optimization techniques. Concerted research efforts have been made recently in order to invent novel optimization techniques for solving real life problems, which have the attributes of memory update and population-based search solutions...read more (view table of contents, read Amazon.com's description)
Hardcover:
9783540201670 | Springer Verlag, March 5, 2004, cover price $299.00 | About this edition: Presently, general-purpose optimization techniques such as Simulated Annealing, and Genetic Algorithms, have become standard optimization techniques.
Paperback:
9783642057670 | Springer Verlag, March 5, 2004, cover price $299.00 | About this edition: Presently, general-purpose optimization techniques such as Simulated Annealing, and Genetic Algorithms, have become standard optimization techniques.
Product Description: This work proposes a concept of adaptive memory programming (AMP) for grouping a number of generic optimization techniques used in combinatorial problems. The same common features seen in the use of memory and a local search procedure drive these emerging optimization techniques, which include artificial neural networks, genetic algorithms, tabu search and ant systems...read more
Hardcover:
9781860942662 | Imperial College Pr, April 1, 2002, cover price $144.00 | About this edition: This work proposes a concept of adaptive memory programming (AMP) for grouping a number of generic optimization techniques used in combinatorial problems.
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