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Nature-inspired intelligence in supply chain management : a review of selected methods and applications

Vassiliadis, Vassilios; Dounias, Giorgos - In: Supply chain optimization, design, and management : …, (pp. 1-31). 2011

Persistent link: https://www.econbiz.de/10009159938

Genetic algorithms

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Handbook of research on soft computing and nature-inspired algorithms

Shandilya, Shishir K.. (ed.); Shandilya, Smita (ed.); … - 2017

"[This book] is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem...

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Observations in using parallel and sequential evolutionary algorithms for automatic software testing

Alba, Enrique; Chicano, Francisco - In: Computers & operations research : and their … 35 (2008) 10, pp. 3161-3183

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Determining batch size in a supply chain

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Cell size determination in WCDMA systems using an evolutionary programming approach

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An improved NEH-based heuristic for the permutation flowshop problem

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A hybrid genetic algorithm/mathematical programming approach to the multi-family flowshop scheduling problem with lot streaming

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A resource portfolio planning model using sampling-based stochastic programming and genetic algorithm

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Solving the knapsack problem with imprecise weight coefficients using genetic algorithms

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