Multi-objective pump scheduling optimisation using evolutionary strategies

被引：122

作者：

Barán, B ^{[1
]}

von Lücken, C ^{[1
]}

Sotelo, A ^{[1
]}

机构：

[1] Natl Univ Asuncion, Natl Comp Ctr, POB 1439, San Lorenzo, Paraguay

来源：

ADVANCES IN ENGINEERING SOFTWARE | 2005年 / 36卷 / 01期

关键词：

pump scheduling; evolutionary computation; genetic algorithms; pareto dominance; multi-objective optimisation; water supply;

D O I：

10.1016/j.advengsoft.2004.03.012

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Multi-objective Evolutionary Algorithms (MOEAs) are used to solve an optimal pump-scheduling problem with four objectives to be minimized: electric energy cost, maintenance cost, maximum power peak, and level variation in a reservoir. Six different MOEAs were implemented and compared. In order to consider hydraulic and technical constraints, a heuristic algorithm was developed and combined with each implemented MOEA. Evaluation of experimental results of a set of metrics shows that the Strength Pareto Evolutionary Algorithm achieves better overall performance than other MOEAs for the parameters considered in the test problem, providing a wide range of optimal pump schedules to chose from. (C) 2004 Civil-Comp Ltd and Elsevier Ltd. All rights reserved.

引用

页码：39 / 47

页数：9

共 21 条

[1]

Coello C, 1999, KNOWL INF SYST, V1, P129, DOI DOI 10.1007/BF03325101

[2]

Deb K, 2001, LECT NOTES COMPUT SC, V1993, P67

[3]

Deb K, 2000, LECT NOTES COMPUTER, V1917, DOI [10.1007/3-540-45356-3_83, DOI 10.1007/3-540-45356-3_83]

[4]

DOLQACHEV FM, 1985, HYDRAULICS HYDRAULIC

[5] An Overview of Evolutionary Algorithms in Multiobjective Optimization [J].

Fonseca, Carlos M. ;

Fleming, Peter J. .

EVOLUTIONARY COMPUTATION, 1995, 3 (01) :1-16

[6]

FONSECA CM, 1993, PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON GENETIC ALGORITHMS, P416

[7]

Goldberg DavidE., 1989, Genetic Algorithms in Search, Optimization, and Machine Learning

[8]

HORN J, 1994, P 1 IEEE C EV COMP, P82, DOI DOI 10.1109/ICEC.1994.350037

[9]

LANSEY KE, 1994, J WATER RESOUR PLAN, P120

[10]

Mackle G., 1995, First International Conference on `Genetic Algorithms in Engineering Systems: Innovations and Applications' GALESIA (Conf. Publ. No.414), P400

← 1 2 3 →