搜索资源列表
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遗传算法和禁忌搜索相结合的方法,并有应用例子-Genetic Algorithm and Tabu Search combination of methods, and application examples
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This program gives solution to the Travelling Salesman problem (TSP). I use genetic algorithm, tabu search, exhaustive search. It all combine in a windows application.
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模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集 -Simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures
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本程序提供禁忌搜索tabu search的matlab程序。可模拟遗传算法产生的节点之后的tabu search过程。-This program provides the matlab tabu search tabu search procedure. Generated by genetic algorithm can simulate the node after the tabu search process.
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TSP问题的遗传、模拟退火、邻域搜索、禁忌搜索算法对比-Genetic TSP problem, simulated annealing, neighborhood search, tabu search algorithm comparison
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优化算法有很多，经典算法包括：有线性规划，动态规划等；改进型局部搜索算法包括爬山法，最速下降法等，模拟退火、遗传算法以及禁忌搜索称作指导性搜索法。而神经网络，混沌搜索则属于系统动态演化方法。
梯度为基础的传统优化算法具有较高的计算效率、较强的可靠性、比较成熟等优点，是一类最重要的、应用最广泛的优化算法。但是，传统的最优化方法在应用于复杂、困难的优化问题时有较大的局限性。(There are many optimization algorithms, the classical algori
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