Description: 主从式并行遗传算法，这个项目是关于视野覆盖给导师做的实验，关于这方面国内国外很少有研究。-master-slave parallel genetic algorithm, the project is on the horizon to cover instructors do experiments, In this respect at home and abroad is little research. Platform: |
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Author:钱锋 |
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Description: 6。《非数值并行算法——遗传算法》，刘勇等着 科学出版社 1995年第一版
本书系统地叙述了非数值并行算法之一的模拟退火算法的基本原理以及最新进展，同时为了便于读者解决实际问题，书中对具体算法的步骤作了详细介绍。本书共分七章，第一章介绍算法的思想、特点。发展过程和前景。第二章介绍算法的基本理论。第三章讨论算法解连续优化问题。第四章利用算法设计和优化神经网络。第五章介绍在组合优化中的应用。第六章介绍应用遗传程序设计解决程序设计自动化问题。第七章对遗传算法和其它适应性算法进行比较。
本书可供高校有关专业的师生、科研人员、工程技术人员阅读参考。-6. "Non- numerical parallel algorithms-- Genetic Algorithm" Liu Yong waiting 520-531 1995 version of the first book to systematically describe the non- numerical parallel algorithms one count of simulated annealing Law and the basic tenets of the latest progress, in order to help readers solve practical problems, book of the specific algorithm steps in detail. The book is divided into seven chapters, the first chapter describes the idea algorithm, characteristics. The development process and prospects. The second chapter describes the basic algorithm theory. The third chapter discusses Algorithm for continuous optimization problems. Chapter IV using the algorithm design and optimization of neural networks. The fifth chapter in combinatorial optimization applications. Chapter V Platform: |
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Author:孙东 |
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Description: 8。《遗传算法及其应用》，陈国良等编着 人民邮电出版社 2001年第一版
本书系统全面地介绍了遗传算法的基本原理、设计方法及其并行实现，以及它在组合优化、机器学习、图像处理、过程控制、进化神经网络、模糊模式识别和人工生命等方面的应用。 本书可作为高等院校计算机、无线电电子学、自动控制、生物医学工程等有关专业高年级学生或研究生的教材和参考书，也可供从事人工智能、信息处理研究和应用的科技人员学习参考。-8. "Genetic algorithm and its application," Chen Guoliang edited and published with the People's Post and in 2001 the first book version of the full introduction of the genetic algorithm basic tenets , design methods and parallel implementation, and its portfolio optimization, machine learning, image processing, process control, evolutionary neural networks, Fuzzy Pattern Recognition and Artificial Life, and so on the application. The book can be used as institutions of higher learning computers, radio electronics, automatic control, biomedical engineering, and other professional grade students or graduate teaching and reference materials, are also available in artificial intelligence, information processing and application of information technology to study. Platform: |
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Author:孙东 |
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Description: This a parallel genetic algorithm for a biinfomatics problem CSP-This a parallel genetic algorithm for a b iinfomatics problem CSP Platform: |
Size: 4096 |
Author:Mary He |
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Description: 用c++和MPI写的并行遗传算法，需要安装MPI库-With c++ And MPI to write parallel genetic algorithm, need to install the MPI library Platform: |
Size: 135168 |
Author:hk |
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Description: 本文详细介绍了并行遗传算法的定义，应用等等，不失为一篇好论文-This paper introduces in detail the definition of parallel genetic algorithms, applications, etc., may be a good thesis Platform: |
Size: 125952 |
Author:yuboyushui |
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Description: 遗传算法并行性好,不易陷入早熟,是目前在遗传算法方面一个比较新研究,该压缩包里包含了大量了一些优秀的遗传算法的一些优秀文章-Parallel genetic algorithm is good, not easily caught early, is the genetic algorithm in a relatively new research area, the compression bag contains a large number of a number of excellent genetic algorithm to some excellent articles Platform: |
Size: 433152 |
Author:meng |
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Description: 遗传算法指南（A Genetic Algorithm Tutorial）：经典的遗传算法文献-This tutorial covers the canonical genetic algorithm as well as more experimental forms of genetic algorithms, including parallel island models and parallel cellular genetic algorithms. Platform: |
Size: 2241536 |
Author:columbia |
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Description: 并行遗传算法的分析，与最基本的有多不同，改进版-Parallel Genetic Algorithm analysis, with the most basic how different and improved version of Platform: |
Size: 93184 |
Author:pei |
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Description: 经典遗传算法利用单一种群对种群个体进行交叉、变异和选择操作，在进化过程中的超级个体易产生过早收敛现象，粗粒度并行遗传算法利用多个子种群进行进化计算，各子群体分别独立进行遗传操作，相互交换最优个体后继续进化。该文证明了该算法的搜索过程是一个有限时齐遍历马尔柯夫链，给出粗粒度并行遗传算法全局最优收敛性证明。对于旅行商问题TSP利用粗粒度并行遗传算法进行了求解，以解决经典遗传算法的收敛到局部最优值问题。仿真结果表明，算法的收敛性能优于经典遗传算法。-Classic genetic algorithm using a single population of individuals in a population cross, mutation and selection operation, the super individuals in the evolutionary process is easy to produce premature convergence phenomenon, coarse-grained parallel genetic algorithm using multiple sub-populations of evolutionary computation, various sub-groups, respectively, independent The genetic manipulation, the exchange of best individual continue to evolve. This paper shows that the search process of the algorithm is a finite homogeneous traverse the Markov chain, given the coarse-grained parallel genetic algorithm global optimal convergence proof. For the traveling salesman problem TSP coarse-grained parallel genetic algorithm to solve to solve the classic genetic algorithm converges to a local optimum value. The simulation results show that the convergence of the algorithm is superior to the classical genetic algorithm. Platform: |
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Author:陈嘉鑫 |
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Description: 并行遗传算法将并行计算机的高速并行性和遗传算法固有的并行性相结合，极大地提升了遗传算法的求解速度和质量。在主从式0细粒度和粗粒度这三类遗传算法并行化模型中，粗粒度模型以其较小的通讯开销和对种群多样化，获得了最广泛的应用。本文概括了基于模式定理和有限状态马尔可夫链的遗传算法理论，总结了前人在粗粒度模型下开展的理论分析和实践应用，并指出并行遗传算法的研究将向异步化，理论化和模型化的方向发展-而有限状态马尔可夫链是构建并行遗传算法可执行模型的有力工具。-Parallel genetic algorithm parallel computers and high-speed parallel genetic algorithm combining the inherent parallelism, which greatly enhanced the genetic algorithm to solve the speed and quality. In the master-slave 0 grained and coarse-grained parallel genetic algorithm to these three models, the coarse-grained model with its smaller communication overhead and population diversity, access to the most widely used. This paper summarizes the pattern-based theorem and finite state Markov chain genetic algorithm theory, summed up in the coarse-grained model predecessors carried out under the theoretical analysis and practical application, and that will be parallel genetic algorithm based asynchronous, theoretical and model of direction- and finite state Markov chain is to build a parallel genetic algorithm executable model a powerful tool. Platform: |
Size: 371712 |
Author:yaojh |
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Description: 这是一个并行遗传算法的论文集，可以供学习改进遗传算法的人参考-This is a parallel genetic algorithm Proceedings can be improved genetic algorithm for learning Reference Platform: |
Size: 1547264 |
Author:张烨 |
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Search - parallel genetic