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This book provides successful implementations of metaheuristic methods for neural network training. It is the first book to achieve this objective. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own....
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-Based Pseudoapproximation Algorithm for Network Flow Inhibition -- Interdicting Stochastic Networks with Binary Interdiction Effort …
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vehicles used. The developed algorithm was awarded third place in the challenge. Methodologically, this thesis applied … heuristics, metaheuristics, matheuristics, and decomposition approaches. Some established methods (adaptive large neighborhood … method, variations of the savings algorithm and the insertion algorithm) are adapted and extended for a better applicability …
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