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《CONTROL AND DECISION》 1999-03
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Performance Analysis for Genetic Algorithms

Hou Gexian, Wu Chengke (Xi'an University of Electronic Science and Technology)  
The convergence of genetic algorithms is analyzed and demonstrated by several function optimization problems comparing with the differences of the performance of several different strategies, a discordance between practical problem and theory analysis is found, and then a new viewpoint is presented for weighing the performance of genetic algorithms. A convergence performance measure and a partial on-line performance are also defined.
【Fund】: 国防预研基金
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