Title
Perturbed Decomposition Algorithm applied to the multi-objective Traveling Salesman Problem.
Abstract
Dealing with multi-objective combinatorial optimization, this article proposes a new multi-objective set-based meta-heuristic named Perturbed Decomposition Algorithm (PDA). Combining ideas from decomposition methods, local search and data perturbation, PDA provides a 2-phase modular framework for finding an approximation of the Pareto front. The first phase decomposes the search into a number of linearly aggregated problems of the original multi-objective problem. The second phase conducts an iterative process: aggregated problems are first perturbed then selected and optimized by an efficient single-objective local search solver. Resulting solutions will serve as a starting point of a multi-objective local search procedure, called Pareto Local Search. After presenting a literature review of meta-heuristics on the multi-objective symmetric Traveling Salesman Problem (TSP), we conduct experiments on several instances of the bi-objective and tri-objective TSP. The experiments show that our proposed algorithm outperforms the best current methods on this problem. HighlightsA new Multi-Objective Decomposition algorithm called PDA is proposed.PDA introduces a new component to Decomposition algorithms: the Data Perturbation.PDA outperforms the best meta-heuristics on the MO Traveling Salesman Problem.
Year
DOI
Venue
2017
10.1016/j.cor.2016.04.025
Computers & OR
Keywords
Field
DocType
Multi-objective combinatorial optimization,Multi-objective Traveling Salesman Problem,Meta-heuristics,Pareto Local search,Decomposition algorithm,Data perturbation
Bottleneck traveling salesman problem,Mathematical optimization,Algorithm,Multi-objective optimization,Combinatorial optimization,Travelling salesman problem,2-opt,Solver,Local search (optimization),Mathematics,Metaheuristic
Journal
Volume
Issue
ISSN
79
C
0305-0548
Citations 
PageRank 
References 
7
0.48
25
Authors
3
Name
Order
Citations
PageRank
Marek Cornu170.48
Tristan Cazenave245958.77
Daniel Vanderpooten3115374.66