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swarm
- 优化问题是工业设计中经常遇到的问题,许多问题最后都可以归结为优化问题. 为了解决各种各样的优化问题,人们提出了许多优化算法,比较著名的有爬山法、遗传算法等.-Industrial design optimization problem is often encountered problems, many problems can be attributed to the final optimization problem. In order to solve a wide range of
GoodsAllocatingProblemwithMultiAimsbasedonTheHybri
- 多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。-Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard p
Particle-Swarm-Optimization-C
- PSO同遗传算法类似，是一种基于迭代的优化算法-PSO is similar with the genetic algorithm is an iterative optimization algorithm based on
Intelligentapplicationofthealgorithms
- 智能化算法的应用，介绍了各种智能算法的概况，详细介绍了蚁群算法、免疫算法、遗传算法、粒子群算法在配电网重构中的应用，可以管中窥豹地学习智能算法在具体问题中的应用-The application of intelligent algorithms, introduced an overview of the various intelligent algorithms, detailed information on ant colony algorithm, immune algorithm,
chinesepapersonParameterselectionofsupportvectorma
- 支持向量机参数选择的相关中文文献，主要包括遗传算法、微粒子群算法、混沌优化算法等。-Chinese literature about Support vector machine parameters, including genetic algorithms, Particle swarm optimization, Chaos optimization algorithm.
hybrid-GAaPSO.pdf.tar
- Novel hybrid genetic algorithm & particle swarm opitimization
jobshop
- 使用遗传算法和粒子群算法共同解决混合车间作业调度问题的文章-The use of genetic algorithm and particle swarm algorithm to solve the articles of the Hybrid Job Shop Scheduling Problem
CAT
- 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
swarm-optimization-algorithm-
- 子群优化算法，并把次算法用于求解旅行商问题．为了增强算法的局部搜索能力，在改进的算法中加入倒置，局部搜索等方法，同时利用遗传算法的全局搜索能力强的特点对求到的解再进行优化，同时，对于搜索全局最优路径方面，通过应用消除交叉路径的方法进行了优化．-Sub swarm optimization algorithm, and the second algorithm is used to solve the traveling salesman problem. In order to enhance
The-Multi-user-Detection-paper
- 提出了基于联合智能算法的MIMO-OFDM系统多用户检测算法。联合智能算法结合了粒子群优化算法、遗传算法、模拟退火算法的思想。-Joint intelligent algorithm is proposed based on multi-user detection algorithm of MIMO- OFDM system. Combined intelligent algorithm combining particle swarm optimization algorithm and g
The-new-meta-heuristic-algorithm-bat
- 摘要：新型元启发式算法例如粒子群算法，萤火虫算法，和声搜索算法已经成为现今复杂的优化问题的有效解决方法。该文基于蝙 蝠的回声定位行为提出了一种新型的元启发式算法———蝙蝠算法，同时也将现有的一些算法的优点引入到该算法中。 改文对该算 法进行了详细的公式化表述并对其执行流程的作出了说明，并且将该算法与遗传算法、粒子群优化算法等算法进行了比较。仿真结 果表明,蝙蝠算法明显优于其他算法，并对进一步的研究作出了展望。-Summary: The new meta-heuristic algor
TSP
- 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
zl
- 描述鱼群的最优化问题，以及边际问题，包括觅食居群行为-Artificial fish swarm algorithm code to deal effectively optimize the optimization problem, with better optimization results than the genetic algorithm
xiaobobao
- 基于小波包的边缘检测，可以用于检测图片边缘，大小噪声的检测-Artificial fish swarm algorithm code to deal effectively optimize the optimization problem, with better optimization results than the genetic algorithm
39378
- 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
Yang_nature_book_part
- 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
39326
- 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
10.1016-j.eswa.2012.12.093(1)
- 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
Hybrid-PSO-with-Genetic
- This Matlab code is combine of Particle Swarm Optimazation (PSO) with Genetic Algorithm
A-combination-of-genetic-algorithm-and-particle-s
- A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental dema