Hybridizing a genetic algorithm with rule-based reasoning for production planning. Abstract: Scheduling problems in steelmaking are too large and complex for ...
This article describes a feasible approach to solve large-scale and real-world scheduling problems. Assuming that a problem can be divided into several ...
This approach divides the problem into subproblems, and then combines procedural methods, a rule-based expert system, and a genetic algorithm that produces ...
Hybridizing a genetic algorithm with rule-based reasoning for production planning. Abstract: Scheduling problems in steelmaking are too large and complex for ...
This article describes a feasible approach to solve large-scale and real-world scheduling problems. Assuming that a problem can be divided into several ...
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Dec 19, 2024 · This study developed a hybrid dispatching and genetic algorithm (HDGA) which uses a genetic algorithm (GA) and dispatch rules, to reduce machine ...
We use genetic algorithm hybridize with a standard tabu search as well as population management strategies to efficiently solve the complicated nonlinear model.
Missing: Reasoning | Show results with:Reasoning
Production planning problems with setup decisions, which were formulated as mixed integer programmes (MIP), are solved in this study.
Oct 22, 2024 · To solve the problem, we present a hybrid approach with a genetic algorithm (GA) and a simulation. The GA is used for optimization of schedules, ...
Apr 12, 2016 · This paper describes the development of a hybrid genetic algorithm for solving the nonpreemptive job shop scheduling problems with the objective ...
Missing: Reasoning | Show results with:Reasoning