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本文介绍了一种新型模拟进化算法蚁群算法该方法通过模拟蚁群搜索食物的过程，达
到求解组合优化问题的目的 -This article describes a new type of simulated evolutionary algorithm method of ant colony algorithm in the simulation of ant colony search for food through the process of solving combinatorial op
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USING NEURAL NETWORKS ALONGSIDE ANT COLONY OPTIMIZATION OF ALGORITHM
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本文档主要介绍智能优化算法的应用，并详细介绍了遗传算法和蚁群算法。-This document focuses on the application of intelligent optimization algorithms, and details of the genetic algorithm and ant colony algorithm.
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A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault cl
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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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基于多目标优化问题的改进蚁群算法的设计描述-Improved Ant Colony Algorithm design descr iption based on the multi-objective optimization problem
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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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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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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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有关蚁群算法的44篇优秀论文，包括蚁群算法、量子蚁群算法、蚁群算法与粒子群算法的混合算法等。-44 excellent papers about ant colony algorithm, ant colony algorithm, quantum ant colony algorithm, ant colony algorithm and the mixed algorithm of particle swarm optimization (pso) algorithm.
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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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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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现代优化计算方法，介绍遗传算法，蚁群算法等智能优化方法(Modern optimization methods, such as genetic algorithm, ant colony algorithm and other intelligent optimization methods)
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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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蚁群聚类算法优化源代码，详细代码可供matlab运行，已测试真实有效。(Optimization of source code by ant colony algorithm)
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