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Hybrid evolutionary optimisation with learning for production scheduling : state-of-the-art survey on algorithms and applications

Lin, Lin; Gen, Mitsuo - In: International journal of production research 56 (2018) 1/2, pp. 193-223

Persistent link: https://www.econbiz.de/10011876295

Multiobjective hybrid genetic algorithm for quay crane scheduling in berth allocation planning

Liang, Chengji; Lin, Lin; Jo, Jungbok - In: International journal of manufacturing technology and … 16 (2009) 1/2, pp. 127-146

Persistent link: https://www.econbiz.de/10003829924

Re-entrant flow shop scheduling problem with time windows using hybrid genetic algorithm based on auto-tuning strategy

Chammanlor, Chettha; Sethman, Kanchana; Chien, Chen-fu; … - In: International journal of production research 52 (2014) 9, pp. 2612-2629

Persistent link: https://www.econbiz.de/10010351875

Multistage production distribution under uncertain demands with integrated discrete particle swarm optimization and extended priority-based hybrid genetic algorithm

Jamrus, Thitipong; Chien, Chen-Fu; Gen, Mitsuo; … - In: Fuzzy optimization and decision making : a journal of … 14 (2015) 3, pp. 265-287

Persistent link: https://www.econbiz.de/10011313621

Cellular manufacturing systems : recent developments, analysis and case studies

Süer, Gürsel A. (ed.); Gen, Mitsuo (ed.) - 2018

Persistent link: https://www.econbiz.de/10011776177

Hybrid Differential Evolution and Particle Swarm Optimization for Multi-Visit and Multi-Period Workforce Scheduling and Routing Problems

Punyakum, Voravee; Sethanan, Kanchana; Nitisiri, Krisanarach - 2022

This research proposed an optimization method using a solution technique based on two well-known techniques, differential evolution and particle swarm optimization, to tackle a multi-visit and multi-period workforce scheduling and routing problem in field service operation of a sugarcane mill...

Persistent link: https://www.econbiz.de/10013302660