# GENETIC ALGORITHM FOR SOLVING A MULTI-OBJECTIVE HELICOPTER ROUTING PROBLEM

### Fubin Qian

#### Abstract

The petroleum industry uses helicopters to transport employees to and from the offshore installations. The helicopter transportation represents a major risk for the employees. The helicopter routing problem is an application of vehicle routing problem with combined pickup and delivery demands, which usually minimizes the total cost of the routes and the fleet size (the number of routes) in a classical form. It is also of interest to minimize the transportation risk. In this paper, a multi-objective genetic algorithm is presented for the helicopter routing problem. The algorithm uses a variation of the cluster-first route-second method for routing helicopters. We apply the proposed algorithm to instances derived from real data and evaluate its effectiveness by comparing with e-constraint approach with a state-of-the-art single-objective tabu search metaheuristic.

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#### Paper Citation

#### in Harvard Style

Qian F. (2012). **GENETIC ALGORITHM FOR SOLVING A MULTI-OBJECTIVE HELICOPTER ROUTING PROBLEM** . In *Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,* ISBN 978-989-8425-97-3, pages 458-461. DOI: 10.5220/0003830904580461

#### in Bibtex Style

@conference{icores12,

author={Fubin Qian},

title={GENETIC ALGORITHM FOR SOLVING A MULTI-OBJECTIVE HELICOPTER ROUTING PROBLEM},

booktitle={Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},

year={2012},

pages={458-461},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0003830904580461},

isbn={978-989-8425-97-3},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,

TI - GENETIC ALGORITHM FOR SOLVING A MULTI-OBJECTIVE HELICOPTER ROUTING PROBLEM

SN - 978-989-8425-97-3

AU - Qian F.

PY - 2012

SP - 458

EP - 461

DO - 10.5220/0003830904580461