Some aspects concerning the implementation of a parallel hybrid metaheuristic

Authors:
Viorel Minzu;Liviu Beldiman
Affiliations:
Department of Control Systems and Industrial Informatics, "Dunarea de Jos" University of Galati, 47, Domneasca Street, 80008 Galati, Romania;Department of Control Systems and Industrial Informatics, "Dunarea de Jos" University of Galati, 47, Domneasca Street, 80008 Galati, Romania
Venue:
Engineering Applications of Artificial Intelligence
Year:
2007

Citing 3
Cited 0

Parallel recombinative simulated annealing: a genetic algorithm

Parallel Computing
Genetic algorithms + data structures = evolution programs (3rd ed.)

Genetic algorithms + data structures = evolution programs (3rd ed.)
Metaheuristics in combinatorial optimization: Overview and conceptual comparison

ACM Computing Surveys (CSUR)

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a discrete optimization system implementing a parallel hybrid metaheuristic. This is obtained by joining a genetic algorithm and a parallel version of a stochastic descent method called 'Kangaroo'. Two real problems in the manufacturing field were solved using the proposed metaheuristic. This offered the opportunity to underline some aspects regarding the implementation of this hybrid system. The impact of the precedence constraints upon the implementation of the genetic operators (crossover and mutation) is also considered.