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HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
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With rapid economic growth of Henan province, it is necessary to optimize all types of land resource allocation Differential evolution algorithm is an evolutionary algorithm based on groups, which utilizes the differential information of individuals in the current population of solutions to guide its further search There are three operators in Differential Evolution, mutation, crossover and selection It applies that improved method to the optimization of land resource allocation A model of land use allocation is put forward The model can attain the optimal solution under multi-constraints such as economic benefit, coordinated and balanced program of development, the total population, agricultural acreage and environment Results show that differential Evolution is effective and has robust character in dealing with multi-constraint and multi-dimensional optimization problems by cooperation and evolution of swarm.