搜索资源列表
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蚁群算法的原理及其应用.pdf；；蚁群算法是优化领域中新出现的一种仿生进
化算法。该算法采用分布式并行计算机制,具有较强的鲁棒性 但有搜索时间较长,易陷入局部最优解的缺点。-The principle of ant colony algorithm and its application. Pdf ant colony algorithm is to optimize the emerging field of evolutionary algorithm for a bionic. T
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基于模拟退火的粒子群算法，模拟退火算法在搜索过程中具有该概率突跳的能力，能够有效地避免搜索过程陷入局部极小解。-Based on simulated annealing particle swarm optimization, simulated annealing algorithm in the search process has a sudden jump in the probability of the capacity, which can effectively avoid th
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METSlib提供基本的启发式算法框架，包括局部搜索及其变体，模拟退火和禁忌搜索等。
-METSlib implements the basics of some metaheuristics algorithm:
* Random Restart Local Search
* Variable Neighborhood Search
* Iterated Local Search
* Simulated Annealing (with line
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由Helsgaun改进的Lin-Kernighan局部启发搜索算法（LKH）求解大规模TSP问题，使用Java语言实现，具有强大的求解TSP性能。-Helsgaun improved the Lin-Kernighan local search algorithm (LKH) for solving large scale TSP problem, use the Java language, solving the TSP with a strong performance.
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C++ language the algorithm: Reactive local search for the maximum clique problem.
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局部搜索优化算法，主要利用局部搜索的技术进行目标优化，可用于优化问题。-Local search optimization algorithm, the main use of local search-objective optimization techniques can be used for optimization problems.
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Most optimization problems in real life applications are often highly nonlinear. Local optimization algorithms do not give the desired performance. So, only global optimization algorithms should be used to obtain optimal solutions. This paper propose
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模拟退火算法的MATLAB实现，通过赋予搜索过程一种时变且最终趋于零的概率突跳性，从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。-MATLAB implementation of simulated annealing algorithm, a search process by giving time-varying and ultimately tends to zero the probability of jumps, which can effectively av
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