Search - optimization heuristic matlab

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[Other] Optimizers DL : 0: 一系列好用的用户友好的启发式优化算法，包括非自适应算法，基于模拟退火算法的种群算法，基本遗传算法，差分进化算法以及粒子群优化算法。此外，也包括神圣算法，它利用了所有这些优化算子，虽然有时交换种群之间的不同算法。-A nice set of user-friendly heuristic optimizers. Included are a non-adaptive, population based Simulated Annealing algorithm, a basic Genetic Algorithm, (transversal) Differential Evolution algorithm and Particle Swarm Optimization algorithm. Also, the GODLIKE-algorithm is included, which simply uses all of these optimizers while occasionally swapping populations between the different algorithms.
Date : 2025-12-25 Size : 26kb User : 竹子的信仰
[Other] bat DL : 0: 用matlab实现新的启发式算法—蝙蝠算法，用于生产优化问题-New heuristic- bat algorithm for the production optimization problem using matlab
Date : 2025-12-25 Size : 1kb User : 丁默
[Other] CS DL : 0: 用matlab实现启发式算法布谷鸟算法，用于生产优化-New heuristic- CS algorithm for the production optimization problem using matlab
Date : 2025-12-25 Size : 1kb User : 丁默
[Other] 蚁群算法 DL : 0: 路径规划是水下潜器智能控制的关键技术之一，其任务是在已知障碍物的环境中按照某一最优指标寻找一条从起始点到目标点的无碰路径。使用蚁群算法对水下潜器三维空间路径规划问题进行了研究，以 ACS 算法为基础设计了路径优化搜索算法，详细讨论了信息素表示方法、路径点选取原则、启发式函数设计和信息素更新规则，给出了算法的具体流程，仿真实验结果表明，该算法能够方便有效的实现三维空间中的路径规划。(Path planning is one of the key technologies of underwater vehicle intelligent control, whose task is to follow a certain environment in a known obstacle The optimal index searches for a collision free path from the starting point to the target point. Three dimensional space path planning for underwater vehicle using ant colony algorithm Questions were studied in order to ACS Based on the algorithm, a path optimization search algorithm is designed, and the pheromone representation method and path are discussed in detail The principle of point selection, heuristic function design and pheromone updating rules are given. The flow chart of the algorithm is given. The simulation results show that the algorithm is very effective, The algorithm can realize path planning in 3D space conveniently and effectively.)
Date : 2025-12-25 Size : 40.49mb User : 毛毛涵
[Other] 蚁群算法 DL : 0: 蚁群算法是一种用来寻找优化路径的概率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。这种算法具有分布计算、信息正反馈和启发式搜索的特征，本质上是进化算法中的一种启发式全局优化算法。蚁群算法的matlab实现(Ant colony algorithm is a probabilistic algorithm for finding optimal paths. It was put forward by Marco Dorigo in his doctoral dissertation in 1992, which is inspired by the behavior of ants in finding food in the process of finding food. This algorithm has the characteristics of distributed computing, positive feedback and heuristic search. In essence, it is a heuristic global optimization algorithm in evolutionary algorithm. Matlab implementation of ant colony algorithm)
Date : 2025-12-25 Size : 8kb User : 那拍拍