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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Vydané v:	Mathematical problems in engineering Ročník 2013; číslo 2013; s. 1 - 12
Hlavní autori:	Jin, Weihua, Chan, Christine W., Hu, Zhiying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2013 John Wiley & Sons, Inc
Predmet:	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
On-line prístup:	Získať plný text
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