搜索资源列表
ACO
- 蚁群优化算法是一种基于自然启发的metaheuristic算法,从其提出到现在历经10多年的发展到目前已经成为一种解决组合优化问题的有效工具。最大团问题是一个经典的NP难的组合优化问题,很多实际问题都可以抽象为对无向图上最大团问题的求解,所以,对最大团问题的研究无论在理论上还是实际上都有重要意义。
Metaheuristic
- M e t a h e u r i s t i c 算法的实例，-M etaheuristic algorithm instance,
simAnealing
- Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space. It is often used whe
TSP_2OPT_Greedy
- 2opt metaheuristic algorithm greedy
SimulatedAnnealing
- Simmulated annealing is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space.
gecco09
- Metaheuristic Monkey search algorithm
MATLAB
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。 -In artificial intellig
Book-Essentials-of-Metaheuristic
- 计算机科学的两大基础目标，就是发现可证明其执行效率良好且可得最佳解或次佳解的算法。而启发式算法则试图一次提供一或全部目标。 例如它常能发现很不错的解，但也没办法证明它不会得到较坏的解；它通常可在合理时间解出答案，但也没办法知道它是否每次都可以这样的速度求解。-Book-Essentials of Metaheuristic
PSO
- Here is a very simple version of PSO in Matlab. PSO is a very popular, population based metaheuristic algorithm that mimics swarming behavior/intelligence in order to solve optimization problems.
Tribes
- Particle swarm optimization (PSO) is a novel metaheuristic inspired by the flocking behavior of birds. The applications of PSO to scheduling problems are extremely few.
genetic-algorithm
- In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutio
firefly_simple
- The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorith
leap_frog
- leap frog algorithm for solving metaheuristic problems and shortening the path to find the most optimized path.
A-Comparative-Study-of-Metaheuristic-Methods-for-
- A Comparative Study of Metaheuristic Methods for Transmission Network Expansion Planning
Bat-Algorithm--Firefly-Algorithm-and-Cuckoo-Searc
- this algorithms are some metaheuristic algorithms that can be use for optimization problem.
firefly-algorithm
- The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorith
SFS
- Stochastic Fractal Search: A new Powerful metaheuristic algorithm. If you want a powerful algorithm to solve your optimization problem, do not hesitate to use SFS algorithm.
EssentialsOfMetaheuristics
- Describes metaheuristic algorithms for problem solving in machine learning.
bat_algorithm
- Bat-inspired algorithm is a metaheuristic optimization algorithm developed by Xin-She Yang in 2010. this is the demo of bat algorithm
Multi Depot vehicle routing with Intelligent Waterdrops metaheuristic using the Cordeau benchmarks
- Multi Depot vehicle routing with Intelligent Waterdrops metaheuristic using the Cordeau benchmarks