Description: 这是用于电火花机床加工控制参数优化的一个多目标遗传算法的matlab程序，自己原创，分享出来和大家交流。 -It is used for electric discharge machining control parameters optimization of a multi-objective genetic algorithm matlab program, their own originality, share them and everyone exchanges. Platform: |
Size: 2048 |
Author:袁计委 |
Hits:
Description: 基于delphi编写的遗传算法多校区排课系统，是学习遗传算法入门的好代码。本人原创。-Delphi-based genetic algorithm written in multi-campus Course Scheduling System, is a good entry-learning genetic algorithm code. I am original. Platform: |
Size: 211968 |
Author:戴耀平 |
Hits:
Description: 传统PID控制器通常难以满足多变量、非线性、强耦合的步进电机动态响应和精
确调速要求,结合传统PID控制和模糊控制及遗传算法(GA)整定PID参数的优点,设计基于
模糊遗传算法的实时自适应步进电动机PID控制器,充分发挥传统和智能控制策略各自的优
势。仿真结果表明,该实时自适应步进电动机PID控制器,具有很好的自适应能力和抗负载扰
动能力。在稳定性、动态速度响应诸方面均优于传统的PID控制器和模糊控制器,系统达到了
较高调速性能和控制精度。
-Traditional PID controller is often difficult to meet the multi-variable, nonlinear, strong coupling dynamics of stepping motor response and accurate speed control, combining the traditional PID control and fuzzy control and genetic algorithm (GA) 整 PID parameters set the advantages of the design based on fuzzy Adaptive genetic algorithm in PID controller, stepper motor, give full play to traditional and intelligent control their own advantages. Simulation results show that the real-time adaptive PID controller, stepper motor, has good adaptive ability and resistance to load disturbances. The stability of the dynamic speed response is superior to the traditional aspects of PID controller and fuzzy controller, the system reached a high speed performance and control precision. Platform: |
Size: 466944 |
Author:孙文 |
Hits:
Description: 建立了多约束条件车辆路径问题的数学模型和求解流程先采用最近插入法生成初始解然后基于遗传算法和模拟退火算法改进初始解-The establishment of a multi-vehicle routing problem with constraint model and solution process first insertion generated by the recent initial solution and based on genetic algorithm and simulated annealing algorithm to improve the initial solution Platform: |
Size: 175104 |
Author:lsylsy |
Hits:
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: |
Size: 1290240 |
Author:张林杰 |
Hits:
Description: An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.-An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles. Platform: |
Size: 324608 |
Author:fais |
Hits:
Description: Genetic algorithms (GAs) have recently been accepted as powerful approaches to
solving optimization problems. It is also well-accepted that building block construction
(schemata formation and conservation) has a positive influence on GA behavior.
Schemata are usually indirectly evaluated through a derived structure. We introduce
a new approach called the Constructive Genetic Algorithm (CGA), which allows
for schemata evaluation and the provision of other new features to the GA. Problems
are modeled as bi-objective optimization problems that consider the evaluation of two
fitness functions. This double fitness process, called fg-fitness, evaluates schemata and
structures in a common basis. Evolution is conducted considering an adaptive rejection
threshold that contemplates both objectives and attributes a rank to each individual in
population. The population is dynamic in size Platform: |
Size: 107520 |
Author:asad |
Hits:
Description: 基于遗传算法的BP神经网络在多目标优化中的应用研究-BP based on genetic algorithm neural network in multi-objective optimization of Platform: |
Size: 2745344 |
Author:lili |
Hits:
Description: 用于结合现有影像和新影像的多光谱图像处理工具的遗传算法，描述了基于遗传算法的监督分类等影像处理工具的程序实现。-For images and new images with the existing multi-spectral image processing tools, genetic algorithms, describes the classification based on genetic algorithms and other image processing tools to monitor the program implementation. Platform: |
Size: 481280 |
Author:吴艺 |
Hits:
Description: hybrid Archive-based Micro Genetic Algorithm (AMGA) on
a set of bound-constrained synthetic test problems is reported.
The hybrid AMGA proposed in this paper is a combination of a
classical gradient based single-objective optimization algorithm
and an evolutionary multi-objective optimization algorithm. Platform: |
Size: 401408 |
Author:nugroho |
Hits:
Description: 多目标规划的遗传算法程序 用matlab编程语言编写-Planning of multi-objective genetic algorithm program written in Matlab programming language Platform: |
Size: 6144 |
Author:王君红 |
Hits:
Description: 用遗传算法求解多目标函数的最小值，方便、简单、快速。-More than the minimum value of the objective function using genetic algorithm, convenient, simple, fast. Platform: |
Size: 10240 |
Author:刘平 |
Hits:
Description: We propose in this paper a novel approach to image fusion in which the fusion rule is guided by optimizing an image clarity
function. A Genetic Algorithm is used to stochastically select, relative to the clarity function, the optimum block from among the
source images. A novel nested Genetic Algorithm with gifted individuals found through bombardment of genes by the mutation
operator is designed and implemented. Convergence of the algorithm is analytically and empirically examined and statistically
compared (MANOVA) with the canonical GA using 3 test functions commonly used in the GA literature. The resulting GA is
invariant to parameters and population size, and a minimal size of 20 individuals is found to be sufficient in the tests. In the
fusion application, each individual in the population is a finite sequence of discrete values that represent input blocks. Platform: |
Size: 246784 |
Author:fia4joy |
Hits:
Search - genetic algorithm multi