Description: 为求解大规模TSP 问题,提出了并行人工免疫系统的塔式主从模型( Towerlike Master2Slave Model ,
TMSM) ,和基于TMSM的并行免疫记忆克隆选择算法(Parallel Immune Memory Clonal Selection Algorithm ,PIMCSA) .- This paper presents a parallel model termed as towerlike master2slave model ( TMSM) for artificial immune sys2
tems . Based on TMSM ,the parallel immune memory clonal selection algorithm (PIMCSA) is also designed for dealing with large2
scale TSP problems . Platform: |
Size: 70656 |
Author:小蓝 |
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Description: 给予函数优化的克隆选择算法，只是一个 算法函数 但是 很好，改改 就可以用了-Given function of the clonal selection algorithm optimization, algorithm is a very good function, however, can be changed on the Platform: |
Size: 2048 |
Author:姜大伟 |
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Description: 一个基于人工免疫克隆选择算法的调度优化MATLAB源码，对应理解程序原理十分有用！-An artificial immune clonal selection algorithm based on scheduling optimization MATLAB source, corresponding to understand the program theory is very useful! Platform: |
Size: 27648 |
Author:sde |
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Description: 改进的粒子群算法(PSO)MATLAB源程序m文件，在粒子群算法中引入克隆、选择算子寻求最优解。在同一粒子周围使用克隆选择算子进行多个方向的全局和局部搜索，促使种群中粒子快速进化，较快的得到局部最优和全局最优的位置-Improved particle swarm optimization algorithm (PSO) MATLAB source M files, in the particle swarm optimization algorithm to clone, the operator to find the optimal solution. The global and local search of the multiple directions using clonal selection operator around the same particle, which promotes the rapid evolution of the particles in the population, and get the local optimal and the global optimum. Platform: |
Size: 4703232 |
Author:涂超 |
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Description: Particle Swarm Optimization (PSO) is a newly-emerging heuristic global search algorithm based on swarm intelligence and it searches the global optimal point in the complex search space through the competition and collaboration of the particles; however, PSO is easy to get trapped in local extremum, to have premature
convergence or stagnation. In order to help PSO strike a balance between individual diversity and swarm convergence, this paper proposes an artificial immune PSO based on clonal selection. It integrates the advantages of artificial immunity and PSO and introduces the idea of immunity in PSO, namely to add immune operator in PSO so as to make PSO a new algorithm with the function of immunity. Platform: |
Size: 250880 |
Author:Dallaki |
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Search - clonal selection Optimization