A genetic-algorithm-aided fuzzy chance-constrained programming model for municipal solid waste management-Reference-Cited by-同舟云学术

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

Published:2019-05-24 Issue:4 Volume:52 Page:652-668
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Xu Ye¹,Liu Xin¹,Hu Xiaoguang²,Huang Guohe³,Meng Na¹

Affiliation:

1. MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing, People’s Republic of China

2. College of Economics and Management, University of Science and Technology Liaoning, Anshan, People’s Republic of China

3. Faculty of Engineering, University of Regina, Regina, Canada

Funder

National Key Research and Development Plan

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2019.1608979

Reference21 articles.

1. Multi-objective sizing optimisation of a solar-thermal system integrated with a solar-hydrogen combined heat and power system, using genetic algorithm

2. A fuzzy goal programming approach for the optimal planning of metropolitan solid waste management systems

3. Optimizing best management practices for nutrient pollution control in a lake watershed under uncertainty

4. GHG emission factors developed for the recycling and composting of municipal waste in South African municipalities

5. A stochastic programming model for a tactical solid waste management problem

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