Dynamic programming approach for solving the open shop problem
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Publication:2033324
DOI10.1007/s10100-019-00630-3OpenAlexW2951368496WikidataQ127710514 ScholiaQ127710514MaRDI QIDQ2033324
Publication date: 16 June 2021
Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10100-019-00630-3
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Cites Work
- Solving the job-shop scheduling problem optimally by dynamic programming
- Compiling finite linear CSP into SAT
- A branch \(\&\) bound algorithm for the open-shop problem
- Competitive genetic algorithms for the open-shop scheduling problem
- Using intelligent backtracking to improve branch-and-bound methods: An application to Open-Shop problems
- Improved bounded dynamic programming algorithm for solving the blocking flow shop problem
- Beam-ACO--hybridizing ant colony optimization with beam search: an application to open shop scheduling
- A new lower bound for the open-shop problem
- A two-level particle swarm optimisation algorithm for open-shop scheduling problem
- Benchmarks for basic scheduling problems
- A new particle swarm optimization for the open shop scheduling problem
- An Optimal Constraint Programming Approach to the Open-Shop Problem
- Open Shop Scheduling to Minimize Finish Time
- Non‐greedy heuristics and augmented neural networks for the open‐shop scheduling problem
- Solving the open shop scheduling problem
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