期刊
JOURNAL OF ENVIRONMENTAL INFORMATICS
卷 2, 期 1, 页码 11-30出版社
INT SOC ENVIRON INFORM SCI
DOI: 10.3808/jei.200300014
关键词
Decision making under uncertainty; genetic algorithms; municipal solid waste management; simulation
Many uncertain factors exist in the planning for Municipal Solid Waste (MSW) management. In this paper, for the first time an evolutionary algorithm is combined with simulation to determine solutions for the NI SW management problem. This new procedure is applied to real case data taken from the Regional Municipality of Hamilton-Wentworth in the province of Ontario and the solutions are compared to the outputs from an earlier study. It can be shown that improved solutions to this problem can be obtained and that this approach provides many practical planning and implementation benefits for problems operating under uncertain conditions.
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