Scheduling by Genetic Local Search with Multi-Step Crossover
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Production scheduling and rescheduling with genetic algorithms
Evolutionary Computation
A Multiobjective Approach to Fuzzy Job Shop Problem Using Genetic Algorithms
Current Topics in Artificial Intelligence
Genetic Algorithm Combined with Tabu Search for the Job Shop Scheduling Problem with Setup Times
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
Genetic algorithm for job-shop scheduling with operators
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
A competent memetic algorithm for complex scheduling
Natural Computing: an international journal
Scheduling with memetic algorithms over the spaces of semi-active and active schedules
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
Hi-index | 0.00 |
Codification is a very important issue when a Genetic Algorithm is designed to dealing with a combinatorial problem. In this paper we introduce new codification schemas for the Job Shop Scheduling problem which are extensions of two schemas of common use, and are worked out from the concept of underlying probabilistic model. Someway the underlying probabilistic model of a codification schema accounts for a tendency of the schema to represent solutions in some region of the search space. We report results from an experimental study showing that in many cases any of the new schemas results to be much more efficient than conventional ones due to the new schema tends to represent more promising solutions than the others. Unfortunately the selection in advance of the best schema for a given problem instance is not an easy problem and remains still open.