搜索资源列表
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This paper studies the problem of categorical data clustering,
especially for transactional data characterized by high
dimensionality and large volume. Starting from a heuristic method
of increasing the height-to-width ratio of the cluster hist
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野人过河问题，本实验研究了用人工智能的理论求解传教士(Missionaries)与野人(Cannibals)过河问题（M-C问题）。实验设计采用产生式系统的概念，将问题用状态空间表示，搜索技术采用状态空间启发式搜索的A算法，规则设计采用产生式规则，用C语言实现了A算法求解M-C问题，加深了对人工智能的认识与理解。-Savage river problems, this experimental study the theory of using artificial intelligence t
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图搜索技术能够从图中寻找一条从起点到目标点的路径. 围绕游戏寻径问题,介绍了如何确定启发式函数进行启发式搜索,并把A*算法用程序加以实现,从而证明A*算法可以解决游戏中的寻径问题-Map search technology to search from a map to the target point from the starting point of the path. Around the game routing problem, describes how to determine
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启发式算法的简介 很有用 大家一起学习啊 一起讨论-About heuristic algorithm is useful to discuss with everyone learning ah
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本文研究的是二维矩形件排样问题，即在多张规格相同的矩形板材上排放一定需求量
的毛坯，使得消耗板材的总面积达到最小。基于上述考虑，为了求解该问题，本文以“最
小浪费优先策略”为基础，提出了一种分组搜索的启发式算法。与其它文献中报道的实例
测试对比，板材利用率均有所改善，验证了本文算法的有效性。-Based on the previous consideration,to solve the two-dimensional rectangular packing
problem,ba
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：文章提出了一种应用于高等院校的自动排课算法
该算法针对高等院校排课要求的高易用性、高收敛性等特点将
启发式算法、禁忌搜索算法、回溯算法进行有机结合．充分发挥
启发式算法在利用应用领域经验和规则的优势，提高了自动排课
的资源搜索能力。通过实际的应用表明，该算法在解决复杂的高
校排课问题时有较好的效果。
关键词：自动排课 启发式算法 禁忌搜索 回溯算法-Automatic Timetable A applied to the institutions of higher l
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启发式算法手册：详细介绍启发式算法的一本英文书籍。-The heuristic algorithm Manual: a heuristic algorithm described in detail English books.
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极值优化论文3：极值优化算法综述.极值优化( EO) 算法是新开发的一种启发式算法,其基本思想是更新适值最差的变量,提高目标函数的适
值.-Global optimization Paper 3: Summary of global optimization algorithm Extremal Optimization (EO) algorithm is a heuristic algorithm for the newly developed, the basic idea is to
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极值优化论文4：极值优化算法研究.极值优化算法是一种新的、通用的启发式优化方法。其基本思想是更新适值最差的变量,提高目标函数的适值。
-Global optimization Paper 4: extremal optimization algorithm study. Global optimization algorithm is a new the common heuristic optimization method. The basic idea is to update coi
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经典算法书籍 《如何求解问题》介绍了传统算法和现代启发式方法-Classical algorithm book " How to solve the problem" describes the traditional methods and modern heuristic methods
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用VC++环境实现了八数码问题的求解，用的是启发式搜索的A*算法-Environmental realized with VC++ eight digital problem solving, using a heuristic search algorithm A*
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In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role
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关于经典算法的思考与总结。涵盖KMP.遗传.启发式搜索.图像
特征提取 SIFT.傅立叶变换.Hash.快速排序.SPFA.快递选择 SELECT A*.Dijkstra.DP.BFS/DFS.红黑树等 15 个经典基础算法，
共计 31 篇文章，包括算法理论的研究与阐述，及其编程的具体实现。很多个算法都后续写
了续集-Thinking about the classical algorithm and summary. Covering the KMP. Genetic heuri
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This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are
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Location-allocation problem for intra-transportation system in a big company by using meta-heuristic algorithm
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萤火虫算法（Firefly Algorithm）是一种启发式算法，灵感来自于萤火虫闪烁的行为。萤火虫的闪光，其主要目的是作为一个信号系统，以吸引其他的萤火虫。剑桥大学的Xin-She Yang（音译：杨新社）教授提出了萤火虫算法，其假设为[1]：
萤火虫不分性别，这样一个萤火虫将会吸引到所有其他的萤火虫
吸引力与它们的亮度成正比，对于任何两个萤火虫，不那么明亮的萤火虫被吸引，因此移动到更亮的一个，然而，亮度又随着其距离的增加而减少
如果没有比一个给定的萤火虫更亮的萤火虫，它
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Simulated Annealing (SA) is the oldest probabilistic
meta-heuristic algorithm and one of the first algorithms
having ability to avoid being trapped in local minima. It
is inspired by the process of annealing in metallurgy. In
this process a m
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this a goog set of mathlab code for heuristic algorithm in mathlab-this is a goog set of mathlab code for heuristic algorithm in mathlab
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Solving reliability and redundancy allocation problems via meta-heuristic algorithms has attracted
increasing attention in recent years. In this study, a recently developed meta-heuristic optimization algorithm
cuckoo search (CS) is hybridized wi
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旅行商问题是NP完全的组合优化问题。分析了邻域启发式算法的基本操作,提出
一种简单的启发式贪心法,仅利用城市间的距离信息求解旅行商问题-Traveling salesman problem is np-complete combinatorial optimization problem.The basic operation of neighborhood heuristic algorithm is analyzed and presented
A simple heuristic
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