Multi-objective two-stage multiprocessor flow shop scheduling – a subgroup particle swarm optimisation approach

DOI10.1080/00207721.2014.886742zbMath1332.90103OpenAlexW1974438947MaRDI QIDQ2792241

Chang-Lin Yang, Chun-Ting Hsu, Rong-Hwa Huang

Publication date: 8 March 2016

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2014.886742

zbMATH Keywords

schedulingflow shopmultiprocessorparticle swarm optimisation

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (1)

Asymptotic analysis of conserved densities evaluated on invariant solutions associated with large scale nonlinear zonal flows around the rotating sphere

Cites Work

• A particle swarm optimization algorithm for makespan and total flowtime minimization in the permutation flowshop sequencing problem
• Optimal scheduling of a two-stage hybrid flow shop
• A hybrid simplex search and particle swarm optimization for unconstrained optimization
• A genetic algorithm for hybrid flow-shop scheduling with multiprocessor tasks
• Hybrid flow-shop scheduling problems with multiprocessor task systems.
• A local and global search combine particle swarm optimization algorithm for job-shop scheduling to minimize makespan
• A truck scheduling problem arising in intermodal container transportation
• Two-Stage, Hybrid Flowshop Scheduling Problem
• Parallel machine scheduling with common due windows
• A new encoding scheme-based hybrid algorithm for minimising two-machine flow-shop group scheduling problem

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