JOURNAL ARTICLE

A memetic algorithm for symmetric traveling salesman problem

Keivan GhoseiriHassan Sarhadi

Year: 2008 Journal:   International Journal of Management Science and Engineering Management Vol: 3 (4)Pages: 275-283   Publisher: Taylor & Francis

Abstract

Abstract A Memetic Algorithm (MA) encompasses a class of approaches with proven practical success in variety of optimization problems aiming to make use of benefits of each individual approach. In this paper, we present a special designed Memetic Algorithm to solve the well-known Symmetric Traveling Salesman Problem (STSP).The main feature of the Memetic Algorithm is to use a local search combined with a special designed genetic algorithm to focus on the population of local optima. To check the performance quality of the proposed Memetic Algorithm, some benchmark problems are solved. Experiments on the benchmark set indicate that the Memetic Algorithm is quite efficient and competitive and produces good convergence behaviour and solutions.

Keywords:
Memetic algorithm Benchmark (surveying) Travelling salesman problem Mathematical optimization Local search (optimization) Memetics Computer science Convergence (economics) 2-opt Genetic algorithm Local optimum Population Feature (linguistics) Mathematics Algorithm Artificial intelligence

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
26
Refs
0.10
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
Evolutionary Algorithms and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Vehicle Routing Optimization Methods
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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