loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ehsan Abbasi and Vahid Garousi

Affiliation: University of Calgary, Canada

ISBN: 978-989-8425-31-7

Keyword(s): Pump operation scheduling, Multi-objective genetic algorithm, Non-dominated sorting genetic algorithm, Oil pipeline networks, Power optimization.

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

Abstract: This paper proposes an optimization model for the pipeline operation problem using a dual-objective non-dominated sorting genetic algorithm (NSGA-II). One and foremost objective is to minimize pumping energy costs. The second objective is to recognize the pipeline operators’ concern on pumps maintenance costs by reducing the number of times pumps are turned on and off. This is commonly believed as a main source of wear and tear on the pumps. The formulation of the problem is presented in detail and the model is tested on a hypothetical case study (which is based on consultation with two industrial partners). The output results are promising since they would give operators a better understanding of different optimal scenarios on a “Pareto front”. Operators can visually assess several alternatives, and analyse the cost-effectiveness of each scenario in terms of both objective functions.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.200.74

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Abbasi, E. and Garousi, V. (2010). MULTI-OBJECTIVE OPTIMIZATION OF BOTH PUMPING ENERGY AND MAINTENANCE COSTS IN OIL PIPELINE NETWORKS USING GENETIC ALGORITHMS.In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 153-162. DOI: 10.5220/0003063801530162

@conference{icec10,
author={Ehsan Abbasi. and Vahid Garousi.},
title={MULTI-OBJECTIVE OPTIMIZATION OF BOTH PUMPING ENERGY AND MAINTENANCE COSTS IN OIL PIPELINE NETWORKS USING GENETIC ALGORITHMS},
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={153-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003063801530162},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - MULTI-OBJECTIVE OPTIMIZATION OF BOTH PUMPING ENERGY AND MAINTENANCE COSTS IN OIL PIPELINE NETWORKS USING GENETIC ALGORITHMS
SN - 978-989-8425-31-7
AU - Abbasi, E.
AU - Garousi, V.
PY - 2010
SP - 153
EP - 162
DO - 10.5220/0003063801530162

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.