Modeling of, and reasoning with recurrent events with imprecise durations
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Pareto Simulated Annealing for Fuzzy Multi-Objective Combinatorial Optimization
Journal of Heuristics
A Job-Shop Scheduling Problem with Fuzzy Processing Times
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
A fuzzy project scheduling approach to minimize schedule risk for product development
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
A fuzzy approach to job-shop scheduling problem based on imprecise processing times
Recent advances in intelligent paradigms and applications
Fuzzy modeling of manufacturing and logistic systems
Mathematics and Computers in Simulation
A fuzzy genetic algorithm for real-world job shop scheduling
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Learning event durations from event descriptions
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Fuzzy point estimation and its application on fuzzy supply chain analysis
Fuzzy Sets and Systems
Sensitivity Analysis for the Job Shop Problem with Uncertain Durations and Flexible Due Dates
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Comparative Study of Meta-heuristics for Solving Flow Shop Scheduling Problem Under Fuzziness
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
A Multiobjective Approach to Fuzzy Job Shop Problem Using Genetic Algorithms
Current Topics in Artificial Intelligence
A Study of Schedule Robustness for Job Shop with Uncertainty
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
A Genetic Algorithm for the Open Shop Problem with Uncertain Durations
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Modeling and learning vague event durations for temporal reasoning
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Fast Local Search for Fuzzy Job Shop Scheduling
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Improving local search for the fuzzy job shop using a lower bound
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Particle swarm optimisation for open shop problems with fuzzy durations
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Interval type-2 fuzzy modelling and simulated annealing for real-world inventory management
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Combining neighbourhoods in fuzzy job shop problems
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Annotating and learning event durations in text
Computational Linguistics
A genetic algorithm for solving fuzzy resource-constrained project scheduling
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Study of objective functions in fuzzy job-shop problem
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Fuzzy resource-constrained project scheduling using taboo search algorithm
International Journal of Intelligent Systems
Project scheduling under uncertainty using fuzzy modelling and solving techniques
Engineering Applications of Artificial Intelligence
| Hi-index | 0.00 |
Jobshop scheduling problems are NP-hard problems. The durations in the reality of manufacturing are often imprecise and the imprecision in data is very critical for the scheduling procedures. Therefore, the fuzzy approach, in the framework of the Dempster-Shafer theory, commands attention. The fuzzy numbers are considered as sets of possible probabilistic distributions. After a review of some issues concerning fuzzy numbers, we discuss the determination of a unique optimal solution of the problem and then we cast a meta-heuristic (simulated annealing-SA) to this particular framework for optimization. It should be stressed that the obtained schedule remains feasible for all realizations of the operations durations