A genetic-algorithms-based approach for programming linear and quadratic optimization problems with uncertainty

DOI10.1155/2013/272491zbMath1296.90146OpenAlexW2079717677WikidataQ59025456 ScholiaQ59025456MaRDI QIDQ460395

Weihua Jin, Zhiying Hu, Christine W. Chan

Publication date: 13 October 2014

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/272491

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quadratic programming (90C20) Linear programming (90C05) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• Matlab

Cites Work

• A fuzzy goal programming approach for the optimal planning of metropolitan solid waste management systems
• Grey integer programming: an application to waste management planning under uncertainty
• Waste management policy analysis and growth monitoring: an integrated approach to perspective planning
• Grey linear programming, its solving approach, and its application
• Parametric Mixed Integer Programming: An Application to Solid Waste Management
• A derivative algorithm for inexact quadratic program -- application to environmental decision-making under uncertainty

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