Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Costs in design of scheduling algorithms: a study on branch-and-bound methodology
Computers and Industrial Engineering
A modified genetic algorithm for single machine scheduling
Computers and Industrial Engineering
Computers and Industrial Engineering
Evaluation and comparison of production schedules
Computers in Industry - Special issue on advances in computer integrated production in honour of professor C.L. Moodie's retirement
Constraint propogation techniques for the disjunctive scheduling problem
Artificial Intelligence
Multi-product planning and scheduling using genetic algorithm approach
Computers and Industrial Engineering
A genetic algorithm-based scheduler for multiproduct parallel machine sheet metal job shop
Expert Systems with Applications: An International Journal
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The present paper presents a hybrid approach for solving manufacturing scheduling problems, based on the integration between Constraint Logic Programming (CLP) and Genetic Algorithm (GA) approaches. The proposed methodology is applied to a single line with multiple products and sequence-dependent time. This system model derives from a real case of a company producing sheets for catalytic converters. A sensitivity analysis of the hybrid methodology is carried out to compare the performance of the CLP, GA and integrated CLP-GA approaches.