A knowledge-based evolutionary strategy for scheduling problems with bottlenecks
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Publication:1869426
DOI10.1016/S0377-2217(02)00205-9zbMath1012.90007WikidataQ57587906 ScholiaQ57587906MaRDI QIDQ1869426
Jorge Puente, Ramiro Varela, Camino R. Vela, Alberto Gomez
Publication date: 10 April 2003
Published in: European Journal of Operational Research (Search for Journal in Brave)
Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (6)
A dynamic WIP control strategy for bottlenecks in a wafer fabrication system ⋮ Genetic tabu search for the fuzzy flexible job shop problem ⋮ An effective architecture for learning and evolving flexible job-shop schedules ⋮ Multi-population interactive coevolutionary algorithm for flexible job shop scheduling problems ⋮ Multiple colony ant algorithm for job-shop scheduling problem ⋮ Local search and genetic algorithm for the job shop scheduling problem with sequence dependent setup times
Uses Software
Cites Work
- The job shop scheduling problem: Conventional and new solution techniques
- The use of genetic algorithms to solve the economic lot size scheduling problem
- Evolution based learning in a job shop scheduling environment
- Some new results on simulated annealing applied to the job shop scheduling problem
- Deterministic job-shop scheduling: Past, present and future
- A generalized permutation approach to job shop scheduling with genetic algorithms
- A tabu search method guided by shifting bottleneck for the job shop scheduling problem
- Dynamic problem structure analysis as a basis for constraint-directed scheduling heuristics
- Machine Criticality Measures and Subproblem Solution Procedures in Shifting Bottleneck Methods: A Computational Study
- Job Shop Scheduling by Local Search
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