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Two-agent scheduling problems have been widely studied for many years. However, in the real world, there might be many agents competing for limited resources. This study explores a three-agent scheduling problem. The objective is to minimize the total tardiness of jobs from agent 1 with the restriction that all the jobs from agent 2 must be completed within a common due window, and each job from agent...
This study focused on supply chain planning with multi-echelon, single-product, and multi-period unbalanced system, took into consideration of customer demand, supplier relationship and capacity limit. We proposed a hybrid methodology based on the supplier relationship management (SM), the analytic network process (ANP) and an improved genetic algorithm (GA) to find out optimal supply chain network...
We present an integrated Differential Evolution (DE), Genetic Algorithm (GA) and Hybrid Petri net (HPN) based approach for scheduling of a hybrid dynamical transport network operation. The main advantage of the proposed approach is a reduction of complexity in the optimization problem formulation for a system with non-linear constraints and hybrid discretecontinuous parameters and the impact of discontinuities...
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