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USING NEURAL NETWORKS ALONGSIDE ANT COLONY OPTIMIZATION OF ALGORITHM
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For ant colony optimization algorithm learning, accompanying the ant colony algorithm source code, suitable for beginners
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For ant colony optimization algorithm learning, accompanying the ant colony algorithm C + + source code, suitable for beginners
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A QoS Routing Algorithm Based on Ant Colony
Optimization and Mobile Agent
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c#解决蚁群算法实例源代码，实现一定范围内最短路径的优化。-c# solve the ant colony algorithm source code examples, shortest path optimization within a certain range.
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粒子群算法与蚁群算法的比较，最近几年的研究热点，如何区分群类算法-Comparison of particle swarm optimization and ant colony algorithm, a research hotspot in recent years, how to distinguish the group class algorithm
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基于蚁群算法的高校排课系统优化策略
蚁群算法 课表优化-University Course Scheduling Based on Ant Colony Optimization Strategies Ant Colony Algorithm Optimization Timetable
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Optimization problems are very important in many fields. To the present,
many optimization algorithms based on computational intelligence have been proposed,
such as the Genetic Algorithm, Ant Colony Optimization (ACO), and Particle Swarm
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这是介绍基于蚁群优化算法的碎纸拼接的文章-This is to introduce ant colony optimization algorithm shredding stitching articles
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Agent 蚁群算法 专家系统 优化排序 算例分析 多Agent系统-Ant colony optimization algorithm for expert systems sort numerical example
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总结的混合粒子群算法、蚁群算法、遗传算法求TSP（旅行商问题）,值得看一看-Summary hybrid particle swarm optimization, ant colony algorithm, genetic algorithm for TSP (traveling salesman problem), it is worth a look
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蚁群优化算法的C++程序 根据具体的要求改变参数和目标函数就能用 -Ant colony optimization algorithm C++ program change parameters and objective function can be used according to specific requirements
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System reliability analysis and optimization are important to efficiently utilize available resources and to develop an optimal system design architecture. System reliability optimization has been solved by using optimization techniques including met
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蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。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-Ant colony algorithm (ant colony optimization, ACO), also known as ant algorithm, is a probabilistic algorithm used to find optimal
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除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
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Ant Colony Optimization Algorithm (ACO) and TSP
ACO algorithm mimics the behavior of real life ants and on how they interact with each other. The basic philosophy of the algorithm involves the movement of a colony of ants through the different stat
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Ant colony system 1, optimization algorithm to solve TSP problem
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Explain Ant colony system 2, optimization algorithm to solve TSP problem
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蚁群优化是一种元启发式的随机搜索技术,是目前解决组合优化问题最有效的工具之一.将信
息素更新和随机搜索机制的改进相结合,提出一种快速求解旅行商问题的蚁群算法-Ant colony optimization is a kind of meta heuristic random search technique, is one of the most effective tool to solve combinatorial optimization problem. The letter
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蚁群算法、遗传算法、免疫算法等智能优化算法应用代码(Application code of intelligent optimization algorithms, such as ant colony algorithm, genetic algorithm, immune algorithm and so on)
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