Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Fuzzy genetic algorithm and applications
Fuzzy Sets and Systems
Minimizing the number of tardy jobs in identical machine scheduling
Proceedings of the 15th annual conference on Computers and industrial engineering
LPT scheduling for fuzzy tasks
Fuzzy Sets and Systems
Chance constrained programming with fuzzy parameters
Fuzzy Sets and Systems
A note on chance constrained programming with fuzzy coefficients
Fuzzy Sets and Systems
Evolutionary algorithm solution to fuzzy problems: Fuzzy linear programming
Fuzzy Sets and Systems
Ranking fuzzy numbers based on decomposition principle and signed distance
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
Programming Microsoft Office 2000 Web Components with Cdrom
Programming Microsoft Office 2000 Web Components with Cdrom
Uncertain Programming
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Scheduling under Fuzziness
The hybrid heuristic genetic algorithm for job shop scheduling
Computers and Industrial Engineering
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
A hybrid genetic algorithm for the job shop scheduling problems
Computers and Industrial Engineering
Parallel machine scheduling models with fuzzy processing times
Information Sciences—Informatics and Computer Science: An International Journal
Computers and Operations Research
Robotics and Computer-Integrated Manufacturing
Some single-machine and m-machine flowshop scheduling problems with learning considerations
Information Sciences: an International Journal
Computers and Industrial Engineering - Special issue: Selected papers from the 31st international conference on computers & industrial engineering
Information Sciences: an International Journal
Information Sciences: an International Journal
Dependent-chance programming with fuzzy decisions
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
A chaotic digital secure communication based on a modified gravitational search algorithm filter
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Simultaneous batch splitting and scheduling on identical parallel production lines
Information Sciences: an International Journal
Information Sciences: an International Journal
Applying modified NSGA-II for bi-objective supply chain problem
Journal of Intelligent Manufacturing
Parallel-machine scheduling to minimize makespan with fuzzy processing times and learning effects
Information Sciences: an International Journal
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This paper addresses parallel machine scheduling problems with fuzzy processing times. A robust genetic algorithm (GA) approach embedded in a simulation model is proposed to minimize the maximum completion time (makespan). The results are compared with those obtained by using the ''longest processing time'' rule (LPT), which is known as the most appropriate dispatching rule for such problems. This application illustrates the need for efficient and effective heuristics to solve such fuzzy parallel machine scheduling problems (FPMSPs). The proposed GA approach yields good results quickly and several times in one run. Moreover, because it is a search algorithm, it can explore alternative schedules providing the same results. Thanks to the simulation model, several robustness tests are conducted using different random number sets, and the robustness of the proposed approach is demonstrated.