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Persistent link: https://www.econbiz.de/10009408348

A hybrid genetic-immune algorithm with improved lifespan and elite antigen for flow-shop scheduling problems

Chang, Pei-chann; Huang, Wei-hsiu; Ting, Ching-jung - In: International journal of production research 49 (2011) 15/17, pp. 5207-5230

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A hybrid genetic algorithm for the job shop scheduling problem with practical considerations for manufacturing costs : investigations motivated by vehicle production

Zhang, Rui; Chang, Pei-chann; Wu, Cheng - In: International journal of production economics 145 (2013) 1, pp. 38-52

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A block mining and re-combination enhanced genetic algorithm for the permutation flowshop scheduling problem

Chang, Pei-chann; Huang, Wei-hsiu; Wu, Jheng-long; … - In: International journal of production economics 141 (2013) 1, pp. 45-55

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Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems

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An efficient hybrid evolutionary heuristic using genetic algorithm and simulated annealing algorithm to solve machine loading problem in FMS

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Evolutionary computing in advanced manufacturing

Tiwari, Manoj Kumar (contributor); … - 2011

"This cutting-edge book covers emerging, evolutionary and nature inspired optimization techniques in the field of advanced manufacturing. The complexity of real life advanced manufacturing problems often cannot be solved by traditional engineering or computational methods. Hence, in recent years...

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A framework for designing robust supply chains considering product development issues

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Production planning using genetic algorithm

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Genetic-algorithms-based algorithm portfolio for inventory routing problem with stochastic demand

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