Computers and Industrial Engineering - Special issue on computational intelligence for industrial engineering
New Single Machine and Job-Shop Scheduling Problems with Availability Constraints
Journal of Scheduling
Scheduling two-stage hybrid flow shop with availability constraints
Computers and Operations Research
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Swarm-based neighbourhood search for fuzzy job shop scheduling
International Journal of Innovative Computing and Applications
Population-based neighborhood search for job shop scheduling with interval processing time
Computers and Industrial Engineering
Co-evolutionary genetic algorithm for fuzzy flexible job shop scheduling
Applied Soft Computing
Artificial bee colony algorithm for fuzzy job shop scheduling
International Journal of Computer Applications in Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper presents the fuzzy job shop scheduling problem with availability constraints. The objective is to find a schedule that maximizes the minimum agreement index subject to periodic maintenance, non-resumable jobs and fuzzy due-date. A random key genetic algorithm (RKGA) is proposed for the problem, in which a novel random key representation, a new decoding strategy incorporating maintenance operation and discrete crossover (DX) are used. RKGA is applied to some fuzzy scheduling problem with availability constraints and compared with other algorithms. Computational results show that RKGA performs better than other algorithms.