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A genetic-algorithm-aided fuzzy chance-constrained...
Journal article

A genetic-algorithm-aided fuzzy chance-constrained programming model for municipal solid waste management

Abstract

A genetic-algorithm-aided fuzzy chance-constrained programming (GAFCCP) model is developed for supporting municipal solid waste (MSW) management under uncertainty. The proposed model is an innovative combination of the genetic algorithm (GA) and fuzzy chance-constrained programming (FCCP) method and thus makes a unique contribution to enhancing the feasibility and applicability of the optimization model. The GA was capable of tackling the …

Authors

Xu Y; Liu X; Hu X; Huang G; Meng N

Journal

Engineering Optimization, Vol. 52, No. 4, pp. 652–668

Publisher

Taylor & Francis

Publication Date

April 2, 2020

DOI

10.1080/0305215x.2019.1608979

ISSN

0305-215X

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