Hybridizing ant colony optimization algorithm with nonlinear programming method for effective optimal design of sewer networks

The ant colony optimization algorithm (ACOA) is hybridized with nonlinear programming (NLP) for the optimal design of sewer networks. The resulting problem is a highly constrained mixed integer nonlinear problem (MINLP) presenting a challenge even to the modern heuristic search methods. In the propo...

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Bibliographic Details

Published in:	Water environment research Vol. 91; no. 4; p. 300
Main Authors:	Moeini, Ramtin, Afshar, Mohammad Hadi
Format:	Journal Article
Language:	English
Published:	United States 01.04.2019
Subjects:	Algorithms Animals Ants Biomimetics - methods Nonlinear Dynamics Sewage Statistics as Topic optimal design explicit constraints sewer network nonlinear programming ant colony optimization algorithm
ISSN:	1061-4303
Online Access:	Get more information
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