Advances in job shop scheduling based on genetic algorithm

Kongzhi yu Juece/Control and Decision

Volumn 16, Issue SUPPL., 2001, Pages 641-646

  Wang, Ling ^a   Zheng, Da Zhong ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Genetic algorithm; Job shop; Optimization; Scheduling

Indexed keywords

ARTIFICIAL INTELLIGENCE; BENCHMARKING; ENCODING (SYMBOLS); GENETIC ALGORITHMS; JOB ANALYSIS; OPTIMIZATION; SCHEDULING;

COMPUTATIONAL INTELLIGENCE; JOB SHOP; PRODUCTION SCHEDULING; PROPERTY ANALYSIS; SCHEDULERS;

PRODUCTION CONTROL;

EID: 0035522041     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (51)

1. The complexity of flowshop and job-shop scheduling
2. Deterministic job-shop scheduling: Past, present and future
3. A tutorial survey of job-shop scheduling problems using genetic algorithms (I): Representation
4. Primary structural and quantitative analysis of infeasible solution to job shop scheduling problem
5. A systematic investigation of GA performance on job shop scheduling problems
6. Using data mining to find patterns in genetic algorithm solutions to a job shop scheduling
7. A tutorial survey of job-shop scheduling problems using genetic algorithms (II): Hybrid genetic search strategies
8. A genetic algorithm for the job-shop problem
9. Evolutionary based learning in a job-shop scheduling environment
10. A genetic algorithm applied to a classic job-shop scheduling problem
11. An evolutionary scheduling scheme based on gkGA approach to the job shop scheduling problem
12. Heuristic generation of the initial population in solving job shop problems by evolutionary strategies
13. An effective genetic algorithm for job shop scheduling
14. A controlled genetic algorithm by fuzzy logic and belief functions for job-shop scheduling
15. The application of parallel multipopulation genetic algorithms to dynamic job-shop scheduling
16. Advanced search techniques for the job-shop problem - A comparison
17. A comparison of job-shop scheduling techniques: Simulated annealing, genetic algorithms and mathematical optimization
18. Genetic neuro-scheduler for job-shop scheduling
19. Job shop scheduling with a genetic algorithm and machine learning
20. Some new results on simulated annealing applied to the job shop scheduling problem
21. Hybrid approach to decision-making for job-shop scheduling
22. Genetic algorithm approach to job shop scheduling and its use in real-time cases
23. An effective hybrid optimization strategy for job-shop scheduling problems
24. A genetic algorithm-based approach to flexible flow-line scheduling with variable lot sizes
25. Competitive genetic algorithms for the openshop scheduling problem
26. Two-objective fuzzy job shop scheduling through genetic algorithm
27. Object-oriented job-shop scheduling using genetic algorithms
28. Genetic reinforcement learning approach to the hetergeneous machine scheduling problem
29. Genetic algorithms using multi-objectives in a multi-agent system
30. A prototype genetic algorithm-enhanced multi-objective scheduler for manufacturing systems
31. A genetic algorithm based procedure for more realistic job shop scheduling problem
32. Scheduling chicken catching - An investigation into the success of a genetic algorithm on a real-world scheduling problem
33. Coupling of a genetic algorithm and a simulation model for short-term scheduling in a discontinuous fine chemistry plant
34. Variable neighborhood search: Principles and applications
35. Recent developments in evolutionary computation for manufacturing optimization: Problems, solutions and comparisons