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dbeagle-0.9.2.tar
- Distributed BEAGLE是进化的计算机框架Open BEAGLE的主从分布式扩展。它的关键特点是稳定性，容错，对异源网络的适应性，以及对用户的透明。-Beagle is the evolutionary framework of the Open Computer Beagle Distributed from the main extension. Its key feature is stability, fault-tolerant, heterogeneous network
pso530
- 粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R． Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体
colon
- 基于自适应免疫进化算法的多用户检； 本文采用自适应免疫进化算法来解决多用户检测问题. 通过计算机仿真,无论是抗多址干 扰还是抑制远近效应,此方法都明显优于传统检测方法,并且具有与最优检测器接近的误码率性能.-based on adaptive immune evolutionary algorithm multi-user location; In this paper, adaptive immune evolutionary algorithm to solve the probl
Anthill-20020829
- Recent peer-to-peer (P2P) systems are characterized by decentralized control, large scale and extreme dynamism of their operating environment. As such, they can be seen as instances of complex adaptive systems (CAS) typically found in biological and
OO in C
- C 语言中的类模拟（C++编程思想） 在面向对象的语言里面，出现了类的概念。这是编程思想的一种进化。所谓类：是对特定数 据的特定操作的集合体。所以说类包含了两个范畴：数据和操作。而C 语言中的struct 仅仅是数 据的集合。-C language of analog (C Programming thinking), the object-oriented languages inside, a kind of concept. This program is an evolutionary
rengongyuqun
- 人工鱼群算法，是一种优化进化算法。本文件算法码可测试通过。-Artificial fish school algorithm, is an evolutionary optimization algorithm. This document can be tested by the algorithm code
Multiobjective-Optimization---Interactive-and-Evo
- Multiobjective Optimization - Interactive and Evolutionary Approaches - Springer (2008)
演化法
- 首先介绍了当前求解TSP问题最好的演化算法之一：GT算法。文中重点设计了在NOW上求解旅行商问题GT算法的并行算法，详细描述了设计思路，设计策略。还给出了相当详细的并行算法描述。文中设计的并行算法已经在NOW上的PVM平台上实现。关键词NOW，演化计算，旅行商问题,并行计算-first briefed on the current TSP evolutionary algorithm best one : GT algorithm. The article focused on the desi
BrainyAliens
- 一个射击有智能的外星飞船的小游戏,可以用来研究演化算法.-A shooting intelligent extraterrestrial spacecraft there is a small game can be used to study the evolutionary algorithm.
C_the_Complete_Reference(4th)
- C The Complete Reference Fourth Edition Herbert Schildt-PART I— FOUNDATIONAL C This book divides its descr iption of the C language into two parts. Part One discusses those features of C defined by the original, 1989 ANSI standard for C (c
gViz1.1
- Recently, both to return to my old love for evolution and to broaden my research horizon, I have started working on models simulating the dynamics of evolutionary processes. It is becoming clearer and clearer in biology that to understand form,
bifarea
- Recently, both to return to my old love for evolution and to broaden my research horizon, I have started working on models simulating the dynamics of evolutionary processes. It is becoming clearer and clearer in biology that to understand form,
ANN_Training-withES
- Artificial Nueral Network Training using Evolutionary Strategy.
EvolutionaryAlgorithm
- 本例用演化算法处理了函数f=x^2在[1,31]上的极值问题。关键词：二进制编码，轮盘赌模型-Evolutionary algorithm used in this case to deal with the function f = x ^ 2 in [1,31] on the extremal problem. Keywords: binary code, roulette model
evo-knapsack
- pdf for evolutionary computing of knapsack
Kestimator61v
- 当对两个核酸序列进行比对时，K-Estimator用来评估两者核苷酸替代数（趋异性），包括蛋白编码区与非蛋白编码区。使用Monte Carlo模拟估算可信区间。在分子进化研究中，评估两条核酸序列的被替换核苷酸数量是一个中心课题。精确量化这些数据将直接影响广泛应用于进化基因学的许多实验的可靠性。-When the two nucleic acid sequences, when compared, K-Estimator used to assess the number of nucleotid
NSGA2-dynamic
- Multiobjective optimization for dynamic environments. The IEEE Congress on Evolutionary Computation (CEC)
Evolutionary-dynamics-
- 演化博弈理论的经典书籍之一，主要讲演化动态博弈及其扩展形式，值得一读-Evolutionary game theory, one of the classic books, the main lecture of the dynamic game and its extended form, is worth reading
multi-objective-Optimization-Using-Evolutionary-A
- multi-objective Optimization Using Evolutionary Algorithms 论文对应的matlab代码
evolutionary game code for matlab
- 演化博弈matlab程序与作图，里面有代码和最后运行成功的图形，方便使用(evolutionary game code for matlab)