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Authors: Fulvio Antonio Cappadonna ; Antonio Costa and Sergio Fichera

Affiliation: University of Catania, Italy

ISBN: 978-989-8565-33-4

Keyword(s): Scheduling, Parallel Machines, Human Resources, Makespan, Genetic Algorithms.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolution Strategies ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: This paper addresses the unrelated parallel machine scheduling problem with limited and differently-skilled human resources. Firstly, the formulation of a Mixed Integer Linear Programming (MILP) model for solving the problem is provided. Then, three proper Genetic Algorithms (GAs) are presented, aiming to cope with larger sized issues. Numerical experiments put in evidence how all GAs proposed are able to approach the global optimum given by MILP model for small-sized instances. Moreover, a statistical comparison among proposed meta-heuristics algorithms is performed with reference to larger problems.

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Paper citation in several formats:
Cappadonna, F.; Costa, A. and Fichera, S. (2012). Three Genetic Algorithm Approaches to the Unrelated Parallel Machine Scheduling Problem with Limited Human Resources.In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 170-175. DOI: 10.5220/0004116501700175

@conference{ecta12,
author={Fulvio Antonio Cappadonna. and Antonio Costa. and Sergio Fichera.},
title={Three Genetic Algorithm Approaches to the Unrelated Parallel Machine Scheduling Problem with Limited Human Resources},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)},
year={2012},
pages={170-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004116501700175},
isbn={978-989-8565-33-4},
}

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)
TI - Three Genetic Algorithm Approaches to the Unrelated Parallel Machine Scheduling Problem with Limited Human Resources
SN - 978-989-8565-33-4
AU - Cappadonna, F.
AU - Costa, A.
AU - Fichera, S.
PY - 2012
SP - 170
EP - 175
DO - 10.5220/0004116501700175

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