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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Veröffentlicht in:	Water environment research Jg. 91; H. 4; S. 300
Hauptverfasser:	Moeini, Ramtin, Afshar, Mohammad Hadi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.04.2019
Schlagworte:	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-Zugang:	Weitere Angaben
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