Abstract
Tabu search is a single-solution-based stochastic metaheuristic global optimization method. It is a hill-climbing method that imitates human memory structure to improve decision-making. Scatter search is a population-based metaheuristic algorithm. Scatter search and its generalized form called path relinking are intimately related to tabu search, and they derive additional advantages by using adaptive memory mechanism.
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