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— This paper deals with the Single Machine Scheduling Problem with Earliness and Tardiness Penalties, considering distinct due windows and sequence-dependent setup time. Due to its complexity, an adaptive genetic algorithm is proposed for solving it. Five search operators are used to explore the solution space and the choice probability for each operator… (More)

—This paper deals with the Single Machine Scheduling Problem with Earliness and Tardiness Penalties, considering distinct time windows and sequence-dependent setup time. Due to the complexity of this problem, an adaptive genetic algorithm is proposed for solving it. Many search operators are used to explore the solution space where the choice probability… (More)

This paper deals with the Single Machine Scheduling Problem with Earliness and Tardiness Penalties, considering distinct due windows and sequence-dependent setup time. Due to its complexity, an adaptive genetic algorithm is proposed for solving it. Many search operators are used to explore the solution space where the choice probability for each operator… (More)

—This article introduces MAM-Multiagent Architecture for Metaheuristics, whose objective is to combine metaheuristics, through the multiagent approach, for solving Combinatorial Optimization Problems. In this architecture, each metaheuristic is developed in the form of an autonomous agent, cooperatively interacting in an Environment. This interaction… (More)

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