This article presents new metaheuristics denoted as multipath adaptive tabu search (MATS). The algorithms employ adaptive tabu search (ATS) as the main search heuristics, and incorporate partitioning, sequencing, and discarding mechanisms, respectively. The algorithms are explained in details with their convergence analyses presented. The article also gives an illustrative application of identification of nonlinear force in a cart-plus-pendulum system.
Key words: Metaheuristics, multipath adaptive tabu search, convergence, identification.
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