Search - evolutionary algorithms

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[Other resource] NEA DL : 0: 针对现有遗传算法在多维非线性优选方面的不足，本文提出了一种基于小生境进化算法（NEA）的非线性优选模型，探讨了NEA算法的参数选择原则。通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.
Date : 2008-10-13 Size : 37.14kb User : 黄善理
[Other resource] 演化程序——遗传算法和数据编码的结合 DL : 0: 演化程序——遗传算法和数据编码的结合具体介绍了遗传算法的应用-evolutionary process -- genetic algorithms and data encoding the specific combination of the application of genetic algorithms
Date : 2008-10-13 Size : 7.15mb User : 冯宾
[Other resource] 遗传算法程序包 DL : 0: 遗传算法程序包，里面包含有多种人工智能语言c程序，包括进化算法等等，没有密码-GA package, which contains a variety of artificial intelligence language c procedures, including evolutionary algorithms, etc., no password
Date : 2008-10-13 Size : 78.87kb User : 王松松
[Other resource] yichuansuanfacankao DL : 0: 遗传算法(Genetic Algorithm, GA)是近几年发展起来的一种崭新的全局优化算法，它借用了生物遗传学的观点，通过自然选择、遗传、变异等作用机制，实现各个个体的适应性的提高。这一点体现了自然界中\"物竞天择、适者生存\"进化过程。1962年Holland教授首次提出了GA算法的思想，从而吸引了大批的研究者，迅速推广到优化、搜索、机器学习等方面，并奠定了坚实的理论基础。用遗传算法解决问题时，首先要对待解决问题的模型结构和参数进行编码，一般用字符串表示，这个过程就将问题符号化、离散化了。也有在连续空间定义的GA(Genetic Algorithm in Continuous Space, GACS)，暂不讨论。-genetic algorithm (Genetic Algorithm. GA) is developed in recent years a new global optimization algorithm, it borrows from the biological point of view of genetics, through natural selection, genetic variation, such as mechanisms to achieve the adaptability of various individuals raised. This is reflected in the natural world, "the process of natural selection and survival of the fittest" evolutionary process. In 1962, Professor Holland first proposed the idea of the algorithm, thereby attracting a large number of researchers, to promote rapid optimization, search, machine learning, and to lay a solid foundation in theory. Using genetic algorithms to solve the problem, we must first solve the problem of the treatment of the model structure and coding parameters, general string,
Date : 2008-10-13 Size : 400.36kb User : 冯灿科
[Other resource] ga427 DL : 0: 针对TSP问题，提出了一种改进的遗传算法。在遗传算法中引入进化算法的思想，在此基础上提出顶端培育策略和分阶段策略，以求在保证群体多样性的同时加快收敛速度。-against TSP, an improved genetic algorithms. Genetic Algorithm evolutionary algorithm introduced the idea that the basis of this proposed strategy and cultivating top phased strategy groups in order to ensure diversity at the same time speed up the convergence.
Date : 2008-10-13 Size : 9.36kb User : 黑晓丽
[Other resource] EvolutionaryAlgorithms-2007-06-29 DL : 0: An evolutionary algorithms application which includes several samples(TSP, Evolution in a 3D fitness landscape, Sudoku)
Date : 2008-10-13 Size : 5.3mb User : 呂俊宏
[Other resource] javaea-csp DL : 0: JavaEA是一个用Java编写的基于进化计算（Evolutionary Algorithms）的随机二元约束满足问题求解器，作者提供了多个进化计算方法求解随机二元约束满足问题。
Date : 2008-10-13 Size : 446.4kb User : 杨
[Other resource] 2005is DL : 0: good paper about evolutionary algorithms
Date : 2008-10-13 Size : 111.11kb User : goldman