Title :
A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows
Author :
Liangjun Ke ; Huimin Guo ; Qingfu Zhang
Author_Institution :
State Key Lab. for Manuf. Syst. Eng., Xian Jiaotong Univ., Xian, China
Abstract :
The team orienteering problem with time windows (TOPTW) is a well studied routing problem. In this paper, a cooperative algorithm is proposed. It collaborates metaheuristic and branch-and-price. A restricted master problem and subproblem are defined. It uses a heuristic to obtain an integral solution for the restricted master problem and a metaheuristic to generate new columns for the subproblem. Experimental study shows that this algorithm can find new better solutions for several instances in short time, which supports the effectiveness of the cooperative mechanism between metaheuristic and branch-and-price.
Keywords :
computational complexity; tree searching; TOPTW; branch-and-price algorithm; cooperative approach; metaheuristic algorithm; restricted master problem; team orienteering problem with time windows; Approximation algorithms; Clustering algorithms; Europe; Heuristic algorithms; Integral equations; Operations research; Search problems;
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
DOI :
10.1109/CEC.2014.6900447