Description: 3。《遗传算法与工程设计》，[日]玄光男着，程润伟着 科学出版社 2000年第一版
本书着重从计算方法和应用技术的角度对遗传算法作了深入浅出的讨论。书中介绍了遗传算法的基本概念和结构，解决约束优化和组合优化问题的方法，以及遗传算法在生产调度、可靠性设计、交通运输、设备布局等一系列工业工程问题中的应用。本书可作为高等院校的工业工程、管理科学、运等学、计算机科学和人工智能专业的本科生和研究生的教科书。对于系统分析员、运行研究员、管理科学家以及在工业工程与运筹学领域里从事最优化问题研究和应用的专业技术人员，本书也不失为一本内容丰富且实用性较强的参考书。-3. "Genetic Algorithms and Engineering Design", [] to Yuen-man, Guilin-a 520-531 2000 version of the first book to focus on calculation methods and application of a technical point of view for Genetic Algorithm a simple discussion. The book on genetic algorithms, the basic concepts and structures, optimization and constraint solving combinatorial optimization problems. and the genetic algorithm in production scheduling, reliability design, transportation, equipment and layout of a series of industrial engineering problems applications. The book can be used as colleges in the industrial engineering, management science, transport and other science, computer science and artificial intelligence professional undergraduate and graduate textbook. For system analysts, operations research Platform: |
Size: 9870851 |
Author:孙东 |
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Description: 10。《用于最优化的计算智能》，Nirwan Ansali，Edwin Hou着，李军，边肇棋译 清华大学出版社 1999年第一版
本书从讨论组合优化中的基本问题——NP问题入手，系统地讲述了近年来所发展起来的智能最优化的各种技术和方法，其中包括启发式搜索、Hopfield神经网络、模拟退火和随机机、均场退火以及遗传算法等；并在此基础上，通过一些典型的应用问题，如旅行商问题、模式识别中的点模式匹配问题、通信和任务调度等问题进一步阐明以上一些基本方法怎样用来解决这些原来具有NP性质的困难问题。本书是作者在美国新泽西州理工学院多年讲授有关课程的基础上写成的。全书深入浅出，理论联系实际。为帮助学生掌握基本概念，提高学习能动性，各章编写了习题。本书可作为通信、计算机、控制各专业的高年级学生和研究生学习有关课程的教材。它对于广大科研工作者也是一本很有实际价值的参考书。 -10. "Optimal for Computational Intelligence," Nirwan Ansali, with Edwin Hou, Li Jun, Pin Zhaoxing chess translation Tsinghua University Press in 1999 the first book version of combinatorial optimization from the discussion of basic questions -- NP problem start, the system described in recent years to develop the intelligent optimization of the technology and methods, These include heuristic search, Hopfield networks, simulated annealing and random machine, mean field annealing and genetic algorithms; and on this basis and through some typical applications, such as the traveling salesman problem, pattern recognition of point pattern matching, communication and task scheduling and other issues to further clarify some of these basic methods how to solve these with the original natu Platform: |
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Author:孙东 |
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Description: 3。《遗传算法与工程设计》，[日]玄光男着，程润伟着 科学出版社 2000年第一版
本书着重从计算方法和应用技术的角度对遗传算法作了深入浅出的讨论。书中介绍了遗传算法的基本概念和结构，解决约束优化和组合优化问题的方法，以及遗传算法在生产调度、可靠性设计、交通运输、设备布局等一系列工业工程问题中的应用。本书可作为高等院校的工业工程、管理科学、运等学、计算机科学和人工智能专业的本科生和研究生的教科书。对于系统分析员、运行研究员、管理科学家以及在工业工程与运筹学领域里从事最优化问题研究和应用的专业技术人员，本书也不失为一本内容丰富且实用性较强的参考书。-3. "Genetic Algorithms and Engineering Design", [] to Yuen-man, Guilin-a 520-531 2000 version of the first book to focus on calculation methods and application of a technical point of view for Genetic Algorithm a simple discussion. The book on genetic algorithms, the basic concepts and structures, optimization and constraint solving combinatorial optimization problems. and the genetic algorithm in production scheduling, reliability design, transportation, equipment and layout of a series of industrial engineering problems applications. The book can be used as colleges in the industrial engineering, management science, transport and other science, computer science and artificial intelligence professional undergraduate and graduate textbook. For system analysts, operations research Platform: |
Size: 9870336 |
Author:孙东 |
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Description: MATLAB对11中调度算法进行比较，包括min-min、max-min、遗传算法等等。-MATLAB to 11 in comparison scheduling algorithm, including the min-min, max-min, genetic algorithms and so on. Platform: |
Size: 292864 |
Author:gourd |
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Description: A Genetic Algorithm Approach to Scheduling
Communications for a Class of Parallel Space-Time Adaptive Processing Algorithms Platform: |
Size: 67584 |
Author:mohamed |
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Description: 可用于大学的遗传算法实现排课系统！用遗传算法能达到最好的效果-Can be used for the genetic algorithm University Course Scheduling System! Using genetic algorithms to achieve their best effect Platform: |
Size: 2763776 |
Author:陈鹏 |
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Description: 人工免疫克隆选择算法是一种比较新型的智能算法，其基本算法结构与遗传算法是类似的，以下源码是为网络节点分组调度问题而设计的算法。-Artificial immune clonal selection algorithm is a relatively new type of intelligent algorithms, the basic algorithm structure and the genetic algorithm is similar to, the following source code for the network node designed for packet scheduling algorithms. Platform: |
Size: 1024 |
Author:张望 |
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Description: 排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。
遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。-Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem.
Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co Platform: |
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Author:张林杰 |
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Description: 用遗传算法写的关于智能电网的智能调度问题，以及对于攻击防御的提案-Written by using genetic algorithms on the smart grid smart scheduling, as well as proposals for attack defense Platform: |
Size: 10240 |
Author:沈老板 |
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Description: 用遗传算法解决车间调度jsp问题,本人针对现有代码的不足，应该是目前最好的pudn的代码。-Shop scheduling with genetic algorithms to solve the problem jsp, I for existing code deficiencies, should be the best pudn code Platform: |
Size: 5120 |
Author:li |
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Description: 本代码是利用遗传算法解决简单的JOB—SHOP型的生产调度问题。代码简单，且已经过调试，可以正常运行，C++及遗传算法的初学者可以参考！-This code is the JOB-SHOP-type production scheduling problems using genetic algorithms to solve simple. Simple code, and have been debugging the normal operation of OK, C and Genetic Algorithm for beginners can refer to Platform: |
Size: 3072 |
Author:李鹏飞 |
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Description: 遗传算法解决作业车间调度问题，这一M文件为遗传算子的变异操作-Genetic algorithms to solve the job shop scheduling problem, the M-file for the genetic mutation operator Platform: |
Size: 1024 |
Author:zxy |
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Description: 运用遗传算法解决作业车间调度问题，此M文件为调度问题的主程序代码。-The use of genetic algorithms to solve the job shop scheduling problem, this M-file for the main program code scheduling problems. Platform: |
Size: 2048 |
Author:zxy |
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Description: 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。遗传算法可以解决多种优化问题，如：TSP问题、生产调度问题、轨道优化问题等，在现代优化算法中占据了重要的地位，本例使用遗传算法求解最优解。-Genetic Algorithm (Genetic Algorithm) is a simulation of Darwinian natural selection and genetic mechanism of biological evolution of computational models of biological evolution, the process is a method of searching the optimal solution by simulating natural evolution. Genetic algorithms can solve a variety of optimization problems, such as: TSP problem, production scheduling, track optimization problems in modern optimization algorithms to occupy an important position, in this case the use of genetic algorithm for optimal solutions. Platform: |
Size: 8192 |
Author:jiangsiqi |
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Description: 本程序为针对集装箱码头船舶停靠的调度问题所开发的调度算法，算法中首先设计了基于优先级序列的船舶停靠的求解编码和解码，主要运用遗传算法进行解的优化。-This program is scheduling algorithm scheduling problems for ships dock container terminal being developed algorithm is designed based on the first ship docked priority sequence solving encoding and decoding, the main use of genetic algorithms to optimize the solution. Platform: |
Size: 375808 |
Author:许可 |
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Description: 优化技术是一种以数学为基础，用于求解各种工程问题优化解的应用技术。作为一个重要的科学分支，它一直受到人们的广泛重视，并在诸多工程领域得到迅速推广和应用，如系统控制、人工智能、模式识别、生产调度、VLSI技术和计算机工程等。鉴于实际工程问题的复杂性、约束性、非线性、多极小、建模困难等特点，寻求一种适合于大规模并行且具有智能特征的算法已成为有关学科的一个主要研究目标和引人注目的研究方向。 20世纪80年代以来，一些新颖的优化算法，如人工神经网络、混沌、遗传算法、进化。(Optimization technique is an application technique based on mathematics, which is used to solve the optimization problems of various engineering problems. As an important branch of science, it has been paid more and more attention, and has been rapidly popularized and applied in many engineering fields, such as system control, artificial intelligence, pattern recognition, production scheduling, VLSI technology and computer engineering, etc.. In view of the complexity, constraints, nonlinearity, multi minima and modeling difficulties of practical engineering problems, searching for a large-scale parallel and intelligent algorithm has become one of the main research objectives and attractive research directions. Since 1980s, some novel optimization algorithms, such as artificial neural network, chaos, genetic algorithms, evolutionary programming.) Platform: |
Size: 2027520 |
Author:韬文
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Search - genetic algorithms for scheduling