A Genetic-Algorithms-Based Approach for Programming Linear and Quadratic Optimization Problems with Uncertainty

This paper proposes a genetic-algorithms-based approach as an all-purpose problem-solving method for operation programming problems under uncertainty. The proposed method was applied for management of a municipal solid waste treatment system. Compared to the traditional interactive binary analysis,...

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Bibliographic Details
Published in:	Mathematical problems in engineering Vol. 2013; no. 2013; pp. 1 - 12
Main Authors:	Jin, Weihua, Chan, Christine W., Hu, Zhiying
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2013 John Wiley & Sons, Inc
Subjects:	Genetic algorithms Heuristic Interactive Interactive systems Linear programming Mathematical models Matlab Municipal waste management Mutation Operations research Problem solving Production methods Programming Quadratic programming Solid waste management Solid wastes Solvers Uncertainty Waste treatment
ISSN:	1024-123X, 1563-5147
Online Access:	Get full text
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