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PROPOSITION OF AN IMPROVED GENETIC ALGORITHM TO SOLVE CSP

机译:提出了一种改进的遗传算法来求解CSP

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Within the framework of a CSP resolution, we propose a method based on the principle of the genetic algorithms. The resolution is done under two tests. Initially, we present a simple genetic algorithm, built around basic operators, and we propose, thereafter, an algorithm improved which uses original operators, based on personal heuristic. The obvious improvement noted as for the results obtained is very encouraging. Indeed, if the space of search is of significant size and if it is difficult to isolate an acceptable solution, which is the case of the CSP, the use of heuristic proposed is rather promising.
机译:在CSP解决方案的框架内,我们提出了一种基于遗传算法原理的方法。解决方案是在两个测试下完成的。最初,我们提出一种基于基本运算符的简单遗传算法,然后提出基于个人启发式算法的改进算法,该算法使用原始运算符。关于获得的结果所指出的明显改进是非常令人鼓舞的。的确,如果搜索空间很大,并且很难隔离可接受的解决方案(例如CSP),那么使用启发式方法是很有前途的。

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