Hybrid Tabu Search Algorithm for solving a nonlinear optimization problem

In this paper, we propose new global and fast hybrid algorithm to solve a nonlinear optimization problem. In our new framework, a hybridization of an extended version of Tabu Search (TS) with local techniques is constructed. The extended version of TS in the proposed scheme includes the simple TS together with intensification and diversification search methods, and the local search methods are based on Levenberg-Marquardt (LM) technique and Nelder-Mead (NM) method.

Keywords:

Tabu Search , Genetic Algorithm , Levenberg-Marquardt , Nelder-Mead , Hybrid Algorithm