Jisuanji gongcheng
Iterated Tabu Search Algorithm for Solving 0-1 Binary Quadratic Programming Problem
Zhang Ai-jun, Qin Xin-qiang, Gong Chun-qiong
Abstract
This paper presents an iterated Tabu Search(TS) algorithm for the Binary Quadratic Programming(BQP) problem.The TS as the Local Search(LS) and a new perturbation strategy makes the search jump into a more promising area when TS falling into the local optimum.Experimental results show that the proposed algorithm can reach the best known solution on all the 30 large OR-library instances and comparisons with TS.Simulated Annealing(SA) and Memetic Algorithm(MA) demonstrate the competitiveness of the proposed algorithm.