Description: 用MATLAB编写的遗传算法路径规划，多姿态，多角度，有不同光照,实现六自由度运动学逆解算法。- Genetic algorithms using MATLAB path planning, Much posture, multi-angle, have different light, Six degrees of freedom to achieve inverse kinematics algorithm. Platform: |
Size: 5120 |
Author:段亮民 |
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Description: 该算法既保留了遗传算法的搜索特性，又利用了免疫算法的多机制求解多目标函数最优解的自适应特性，在很大程度上避免了“早熟”，收敛于局部极值。
生物体的免疫系统是一个高度进化、复杂的系统，它能自适应地识别和排除入侵肌体的抗原性异物，保护机体免受损害及维持内坏境稳定，并具有学习、记忆和自适应调节的能力。当抗原入侵时，免疫系统通过自体耐受对‘自己’和‘非己’进行识别，并产生最恰当的抗体排除抗原，通过抗体与抗体之间、抗原与抗体之间的相互刺激和抑制关系，降低抗原对免疫细胞的刺激，抑制抗体的过度分化、增殖，保证免疫平衡并维持抗体的多样性。同时在免疫过程中将产生抗体的部分细胞作为记忆细胞保存下来，对于今后侵入的同类抗原，相应的记忆细胞受到激发而产生大量的抗体。为提高生物体的免疫机能，医学上往往根据抗原性异物提取疫苗给生物体接种，接种过的生物体由于免疫细胞预先获得了抗原染色体的特征信息，因而在类似抗原入侵时，能迅速产生亲和度很高的抗体，有效抵御入侵。-The search algorithm only retains the characteristics of genetic algorithms, and use multiple mechanisms of immune algorithm for solving multi-objective characteristics of adaptive optimal solutions, in large part to avoid the " premature" , converge to local minima. Organism' s immune system is a highly evolved, complex system which adaptively identify and remove foreign matter intrusion antigenic body, protecting the body injury and maintain internal stability bad environment, and has learning, memory and adaptive Ability. When the antigen invasion of immune system tolerance to autologous ' own' and ' non-self' to identify and produce the most appropriate antigen antibody excluded by between antibody and antibody, antigen and antibody mutual stimulation and inhibition of the relationship between reduce the antigen to stimulate immune cells, antibodies inhibit excessive differentiation, proliferation, immune balance and ensure the maintenance of antibody dive Platform: |
Size: 110592 |
Author:snowtiger |
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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 algorithm multi