Multiple colony ant algorithm for job-shop scheduling problem
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Publication:3518511
DOI10.1080/00207540600990432zbMath1153.90439OpenAlexW1976394521MaRDI QIDQ3518511
Voratas Kachitvichyanukul, Apinanthana Udomsakdigool
Publication date: 8 August 2008
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207540600990432
Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (4)
Bi-level multi-objective mathematical model for job-shop scheduling: the application of Theory of Constraints ⋮ Ant colony optimisation with parameterised search space for the job shop scheduling problem ⋮ An effective new island model genetic algorithm for job shop scheduling problem ⋮ Parallel-identical-machine job-shop scheduling with different stage-dependent buffering requirements
Uses Software
Cites Work
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- An ant colony system for permutation flow-shop sequencing
- Beam-ACO--hybridizing ant colony optimization with beam search: an application to open shop scheduling
- Some new results on simulated annealing applied to the job shop scheduling problem
- Deterministic job-shop scheduling: Past, present and future
- Scheduling continuous casting of aluminum using a multiple objective ant colony optimization metaheuristic
- A knowledge-based evolutionary strategy for scheduling problems with bottlenecks
- A novel threshold accepting meta-heuristic for the job-shop scheduling problem
- A tabu search method guided by shifting bottleneck for the job shop scheduling problem
- An advanced tabu search algorithm for the job shop problem
- A Fast Taboo Search Algorithm for the Job Shop Problem
- Comparing an ACO algorithm with other heuristics for the single machine scheduling problem with sequence-dependent setup times
- An effective hybrid optimization strategy for job-shop scheduling problems
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