Estimation of optimum genetic control parameters for job shop scheduling

International Journal of Advanced Manufacturing Technology

Volumn 19, Issue 3, 2002, Pages 224-234

  Ponnambalam, S G ^a   Jawahar, N ^b   Kumar, B ^c  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b THIAGARAJAR COLLEGE OF ENGINEERING   (India)

^c Bluemount Ceramics Limited   (India)

Author keywords

Control parameters; Genetic algorithm; Job shop scheduling

Indexed keywords

GENETIC ALGORITHMS; OPTIMIZATION; PROBABILITY; SCHEDULING;

JOB SHOP SCHEDULING (JSS);

INDUSTRIAL ENGINEERING;

EID: 0036212274     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001700200017     Document Type: Article

References (17)

1. Current and future issues concerning FMS scheduling
2. Scheduling methodologies: Optimization and compusearch approaches
3. Giffler and Thompson algorithms for job shop scheduling is still good for flexible manufacturing systems
4. Algorithms for solving production scheduling problems
5. Genetic algorithms for scheduling: An in-depth analysis and comparison with simulated annealing
6. Genetic algorithm and job shop scheduling
7. A genetic algorithm formulation of the cell formation problem
8. A learning-based methodology for dynamic scheduling in distributed manufacturing systems
9. A hybrid search algorithm for job shop problem
10. Scheduling in flow shop and cellular manufacturing with multiple objectives - A genetic algorithmic approach
11. A genetic algorithm for scheduling flexible manufacturing systems