Bottleneck machine identification method based on constraint transformation for job shop scheduling with genetic algorithm
From MaRDI portal
Publication:454950
DOI10.1016/j.ins.2011.11.013zbMath1247.90166OpenAlexW1992042581MaRDI QIDQ454950
Publication date: 2 October 2012
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2011.11.013
Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)
Related Items
Parallel-machine scheduling to minimize makespan with fuzzy processing times and learning effects, Credit risk prediction using fuzzy immune learning, An improved migrating birds optimisation for a hybrid flowshop scheduling with total flowtime minimisation, A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues
Cites Work
- Unnamed Item
- Problem difficulty for tabu search in job-shop scheduling
- Ant colony optimization combined with taboo search for the job shop scheduling problem
- A survey of priority rule-based scheduling
- A genetic algorithm for the job shop problem
- A systematic procedure for setting parameters in simulated annealing algorithms
- An alternative framework to Lagrangian relaxation approach for job shop scheduling.
- Deterministic job-shop scheduling: Past, present and future
- A very fast TS/SA algorithm for the job shop scheduling problem
- An advanced tabu search algorithm for the job shop problem
- A genetic algorithm for the flexible job-shop scheduling problem
- Modified bottleneck-based heuristic for large-scale job-shop scheduling problems with a single bottleneck
- The Shifting Bottleneck Procedure for Job Shop Scheduling
- A Survey of Scheduling Rules
