An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors – A case study

Author:

Marichelvam M.K.ORCID,Geetha M.,Tosun ÖmürORCID

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modelling and Simulation,General Computer Science

Reference56 articles.

1. Parallel branch-and-bound and parallel PSO algorithms for job shop scheduling problem with blocking;AitZai;Int. J. Oper. Res.,2013

2. A new discrete particle swarm optimization approach for the single-machine total weighted tardiness scheduling problem with sequence-dependent setup times;Anghinolfi;Eur. J. Oper. Res.,2009

3. Ergonomic risk incorporated schedules (ERIS)–scheduling using genetic algorithm to reduce operator fatigue in flow-shop based cells;Aravindkrishna;Int. J. Enterp. Netw. Manag.,2009

4. An extension of two machines sequencing problem;Arthanari;Opsearch,1971

5. GA and ICA approaches to job rotation scheduling problem: considering employee's boredom;Ayough;Int. J. Adv. Manuf. Technol.,2012

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