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Description: DirectX 实现的粒子系统-DirectX achieve the particle system
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Size: 268288 |
Author: 李旻 |
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Description: 粒子系统。粒子的生命，颜色，衰减等的模拟。以及向外发散的效果。-Particle system. Particles of life, color, attenuation of the simulation. As well as the outward divergent results.
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Size: 1412096 |
Author: 王姝勤 |
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Description: 一款埃及学生用Matlab编的的基于PSO的PID整定程序，使用方法详见程序注释。-Tunning of PID controller using Bacterial Foraging Orientec by Particle swarm optimization
My work has been accpepted in GECCO 2008 as Graduat Student workshop. I
have used this techique in PID tunning and i got better result thatn BG
and PSO
Author: Wael Mansour (wael192@yahoo.com)
MSc Student, Electrical Enginering Dept,
Faculty of Engineering Cairo University, Egypt
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Size: 20480 |
Author: 程跃 |
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Description: Particular solution of Ax=b.
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Size: 1024 |
Author: katore vishal |
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Description: 相控阵雷达 相控阵雷达的仿真程序 波束形成-Copyright (c) 2013, The MathWorks, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
* Neither the name of the The MathWorks, Inc. nor the names
of its contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTIC
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Size: 111616 |
Author: zhangyi |
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Description: Parsopoulos等采用罚函数法，利用非固定多段映射函数对约束优化问题进行转化，再利用PSO算法求解转化后问题，仿真结果显示PSO算法相对遗传算法更具有优越性，但其罚函数的设计过于复杂，不利于求解；Hu等采用可行解保留政策处理约束，即一方面更新存储中所有粒子时仅保留可行解，另一方面在初始化阶段所有粒子均从可行解空间取值，然而初始可行解空间对于许多问题是很难确定的；Ray等提出了具有多层信息共享策略的粒子群原理来处理约束，根据约束矩阵采用多层Pareto排序机制来产生优良粒子，进而用一些优良的粒子来决定其余个体的搜索方向。
-Parsopoulos etc. penalty function method, the use of non-fixed multi-stage mapping function constrained optimization problem for transformation, reuse PSO algorithm for solving the problem after the conversion, the simulation results show that the relative genetic algorithm PSO algorithm has more advantages, but its design is too complicated penalty function is not conducive to solving Hu retention policies such as the use of feasible solutions processing constraints, on the one hand to retain only feasible solution when updating the store all particles, on the other hand all the particles are in the initialization phase values from the feasible solution space, however, the initial feasible solution space For many the problem is difficult to determine Ray and put forward the principle of a multi-layer particle swarm information sharing strategies to deal with constraints, according to the constraint matrix using multi Pareto superior sorting mechanism to generate partic
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Size: 2048 |
Author: 朱坤鸿 |
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