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The water resources optimization disposition of multi-water-source, the multi-consumer is the large-scale system question of multi-objective and multi-decision-making, the reasonable allocation of water resources is one of the effective regulative measures for implementing sustainable utilization of water resources. Using the inherent parallelism mechanism of genetic algorithms and global optimization...
An elitist genetic algorithm was used to find Pareto-optimal solutions for land use allocation with multiple objectives and constraints from the concepts of sustainable development. Plans were judged with regard to economic development, the environment and the social equality. A multi-objective fitness function was used. The genetic algorithm offers the possibility of efficiently searching over tens...
Genetic algorithms, owning to their characteristics of intrinsic parallel mechanism and full optimization, can be used to search for solutions for objective programming. In this study, empirical study method was combined with the multi-objective optimization to develop a multi-objective forest harvest adjustment model by introducing Pareto multi-objective genetic algorithm into optimization model...
This article focused on sustainable development, and proposed bounded conditions for reasonable use of water resources, then constructed the coordination and decomposition model. As the water resources have the multi-objectives, the first layer in the model put forward Multi-objective Genetic Algorithm, and use its unique ability of group research to make the optimal development of water resources...
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