Title :
Solving bi-objective flow shop problem with multi-objective path relinking algorithm
Author :
Rong-Qiang Zeng ; Ming-Sheng Shang
Author_Institution :
Sch. of Math., Southwest Jiaotong Univ., Chengdu, China
Abstract :
This paper presents a multi-objective path relinking algorithm for solving bi-objective flow shop problem, where we aim to minimize the total completion time and total tardiness. In this algorithm, we integrate path relinking techniques into hypervolume-based multi-objective optimization. We propose a method to construct a path and select a set of non-dominated solutions from the path for further improvements. Experimental results show the proposed algorithm is very effective in comparison with the original multi-objective local search algorithms.
Keywords :
flow shop scheduling; minimisation; bi-objective flow shop problem solving; hypervolume-based multiobjective optimization; multiobjective local search algorithms; multiobjective path relinking algorithm; nondominated solutions; total completion time minimization; total tardiness minimization; Algorithm design and analysis; Approximation algorithms; Approximation methods; Pareto optimization; Sociology; flow shop problem; hypervolume contribution; local search; multi-objective optimization; path relinking;
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
DOI :
10.1109/ICNC.2014.6975859