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Genetic_Algorithms_in_dam_safety_monitoring_neural
- 本文基于遗传算法思想，采用浮点数矩阵表示编码，在遗传算法的进化过程中加入一定的约束条件等方法，探讨了网络结构的设计和学习。经实例分析，在用于建立大坝安全监控预报模型的前馈神经网络设计中，该方法在满足一定约束条件下，能同时有效地寻找合适的网络结构和相应的参数(神经网络的权值和阈值)，且在精度和速度上都有较大的提高，为实现实时在线分析评价大坝的安全性态提供了有力的技术支持。-Based on the genetic algorithm, using a float matrix coding, Ge
2005is
- good paper about evolutionary algorithms
2007ecj
- good paper about evolutionary computation
2007ijac
- good paper about evolutionary computation
evolutionary-memetic-algorithm
- 关于进化memetic方面的一篇论文,对于理解memetic对进化算法的改进有帮助-a paper about evolutionary memetic computing
Incremental-MOdel-Learning
- 本文提出了一种新型的演进式学习的模型，可以通过自动下载网络上图片达到自动分类的目的-This paper presents a new evolutionary learning model, can automatically download the network picture to achieve the purpose of automatic classification
QuantumEvolutionaryAlgorithm
- 量子进化算法论文，详尽介绍该算法的原理及实验结果-Quantum evolutionary algorithm papers, detailed descr iptions of the principle of the algorithm and experimental results
Evolutionary.Synthesis.of.Pattern.Recognition.Syst
- 此pdf格式文本资料是关于进化合成模式识别系统的理论书籍-Evolutionary Synthesis of Pattern Recognition Systems
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- 摘 要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。-Abstract:This paperproposed a
SPEA2-Improving-the-Strength-Pareto-Evolutionary-
- SPEA2 Improving the Strength Pareto Evolutionary Algorithm
principles-of-evolutionary-algorithm
- 简要阐述了进化算法的基本原理 ,探讨了在 MATLAB 环境中实现遗传算法各算子的编程方法 , 并以一个简单的实例说明所编程序在函数全局寻优中的应用。 -Briefly the basic principles of evolutionary algorithm, to explore the genetic algorithm in MATLAB programming methods for each operator, and a simple example to illustrate
evolutionary-algorithm
- 二次背包问题的贪婪量子进化算法求解,对于初学者来说非常适用-Quadratic knapsack problem greed quantum evolutionary algorithm, is very suitable for beginners
Mult-i-Agent-Evolutionary-Algorithm
- 提出了一种新的组合优化方法即组合优化多智能体进化算法. 该方法将智能体固定在网格上, 而每个智能体为了增加自身能量将与其邻域展开竞争, 同样智能体也可进行自学习来增加能量.-A new method for combinatorial optimization combinatorial optimization ie multi-agent evolutionary algorithm The method body is fixed in the smart grid, and each a
GAPatrol--An-Evolutionary-Multiagent-Approach-for
- In this work, we present a novel evolutionary multiagent-based simulation tool, named as GAPatrol. Such system is devoted to the specification of effective police patrol route strategies for coping with criminal activities happening in a given
A multiobjective optimization-based evolutionary algorithm for constrained optimiz
- A multiobjective optimization-based evolutionary algorithm for constrained optimiz
Evolutionary Algorithms based Controller Optimization for a Real Time Spherical Tank System
- Evolutionary Algorithms based Controller Optimization for a Real Time Spherical Tank System System
ypml101-evolutionary-clustering
- 进化算法自动聚类的matlab实现；通过差分进化算法实现对数据的聚类分析-Evolutionary Automatic Clustering in MATLAB
Multi-objective-evolutionary-optimization-of
- Multi-objective evolutionary optimization of polynomial neural networks for fatigue life modelling and prediction of unidirectional carbon-fibre-reinforced plastics composites
An-evolutionary-ap
- An evolutionary approach based design automation of low power CMOS Two-Stage Comparator and Folded Cascode OTA-An evolutionary approach based design automation of low power CMOS Two-Stage Comparator and Folded Cascode OTA
An Indicator Based Multi-Objective Evolutionary Algorithm with Reference Point Adaptation for Better Versatility
- During the past two decades, a variety of multiobjective evolutionary algorithms (MOEAs) have been proposed in the literature. As pointed out in some recent studies, however, the performance of an MOEA can strongly depend on the Pareto front shap