Search - local search matlab

Search - local search matlab - List

[matlab] Univariate_local_or_global_optimization DL : 0: Univariate local or global optimization matlab最优化工具包，可以进行最优化点的搜寻。-Univariate local or global optimizationmatlab optimization tool kit can be carried out to optimize the search point.
Date : 2025-12-20 Size : 13kb User : ggyyree
[matlab] danchunxing DL : 1: 单纯型搜索MATLAB程序，用于搜索多变量函数的局部极小值。-Search MATLAB simple procedure used to search for multi-variable function of the local minimum value.
Date : 2025-12-20 Size : 2kb User : 周凯
[matlab] MATLAB DL : 0: It is Local search 8qween problem
Date : 2025-12-20 Size : 1kb User : Feroj
[matlab] MATLAB DL : 0: 实现局部寻找最大值点，通过Matlab软件实现-Local search for maximum points achieved by Matlab software
Date : 2025-12-20 Size : 5kb User : 衣鹏
[matlab] pso DL : 0: 经典微粒群算法MATLAB程序，通过修改w值使得微粒群搜索在全局搜索与局部搜索之间达到一个较好的平衡-Classical PSO MATLAB program, by modifying the value of w makes particle swarm search in the global search and local search to achieve a better balance between
Date : 2025-12-20 Size : 2kb User : 董飞
[matlab] pso DL : 0: In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.
Date : 2025-12-20 Size : 2kb User : suci ariani
[matlab] GSOaHGSO(matlab) DL : 0: GSO算法及其改进，其中HGSO是通过与和声搜索算法结合而成，主要用于结构的截面优化、几何优化、动力优化、拓扑优化等，具有收敛速度快，收敛结果好的优点，且其改进算法能摆脱局部最优的缺陷。-GSO algorithm and its improvements, HGSO is through a combination of harmony search algorithm, mainly used to optimize the structure of the cross section, geometry optimization, dynamic optimization, topology optimization, a fast convergence, convergence results is good, and its improved algorithm defects can get rid of local optimum.
Date : 2025-12-20 Size : 6kb User : Li
[matlab] Hybrid-ES-Program DL : 1: 针对港口拖轮调度所设计的遗传混合局部搜索算法代码，优化拖轮调度方案，matlab语言编写-Port tugboats are designed for scheduling the genetic code hybrided with local search algorithm to optimize the scheduling program,written by Matlab
Date : 2025-12-20 Size : 4kb User : sqq
[matlab] PSO DL : 0: Matlab PSO In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions
Date : 2025-12-20 Size : 1kb User : Bekhouche
[matlab] Genetic-Algorithm-matlab DL : 0: 遗传算法 ( Genetic Algorithm , GA) 是借鉴生物界自然选择和群体进化机制形成的一种全局寻优算法。与传统的优化算法相比 ,遗传算法具有如下优点 [1 ] :1 ) 不是从单个点 ,而是从多个点构成的群体开始搜索 2) 在搜索最优解过程中 ,只需要由目标函数值转换得来的适应值信息 ,而不需要导数等其它辅助信息 3) 搜索过程不易陷入局部最优点。数学建模中常用的matlab算法，遗传算法，内容详细，包括PDF版本的详细的算法实现过程；-Genetic Algorithm (based Algorithm, GA) is using biological natural selection and group evolution mechanism to form a global optimization Algorithm is proposed. Compared with the traditional optimization algorithm, genetic algorithm has the following advantages [1] : 1) is not a single point, but multiple points of groups began to search 2) in the process of searching the optimal solution, only needs to be derived the objective function value of fitness information, without the need for a derivative and other auxiliary information 3) the search process is not easy to fall into local optimal point. Mathematical modeling of the commonly used matlab algorithm, genetic algorithm, and content in detail, including the PDF version of the detailed algorithm implementation process
Date : 2025-12-20 Size : 160kb User : 刘珅
[matlab] anti_TSP DL : 0: 蚁群算法是一种智能优化算法，通过介绍蚁群觅食过程中基于信息素的最短路径的搜索策略，给出基于MATLAB的蚁群算法在旅行商问题中的源代码m文件，对问题求解进行局部优化。-Ant colony algorithm is an intelligent optimization algorithm through the shortest route of pheromone search strategy based on the ant foraging process, given the ant colony algorithm based on MATLAB in the traveling salesman problem M source code files, local optimization to solve the problem.
Date : 2025-12-20 Size : 7kb User : 涂超
[matlab] POS_mod DL : 0: 改进的粒子群算法(PSO)MATLAB源程序m文件，在粒子群算法中引入克隆、选择算子寻求最优解。在同一粒子周围使用克隆选择算子进行多个方向的全局和局部搜索，促使种群中粒子快速进化，较快的得到局部最优和全局最优的位置-Improved particle swarm optimization algorithm (PSO) MATLAB source M files, in the particle swarm optimization algorithm to clone, the operator to find the optimal solution. The global and local search of the multiple directions using clonal selection operator around the same particle, which promotes the rapid evolution of the particles in the population, and get the local optimal and the global optimum.
Date : 2025-12-20 Size : 4.49mb User : 涂超
[matlab] 局部搜索最优化问题程序 DL : 0: 关于matlab最优化处理的一个局部搜索最优化问题程序(A local search optimization procedure for MATLAB optimization.)
Date : 2025-12-20 Size : 25kb User : hehe1996
[matlab] 粒子群优化算法的寻优算法 DL : 0: In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity. Each particle's movement is influenced by its local best known position, but is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.
Date : 2025-12-20 Size : 768kb User : studwzq
[matlab] randSearch_main DL : 0: 使用随机搜索方法，进行局部最优求解，matlab语言版本。(The random search method is used to perform local optimal search.)
Date : 2025-12-20 Size : 53kb User : tdcqren
[matlab] PSOGA DL : 0: 粒子群优化算法，弥补pso全局搜能力差，GA局部搜索能力差的不足(Particle Swarm Optimization (PSO) can make up for the deficiencies of poor global search ability of PSO and poor local search ability of GA.)
Date : 2025-12-20 Size : 2kb User : 江专一