Description: 一个免疫遗传算法的介绍，包括TSP例子、算法各特点的详细证明等。-an immune genetic algorithms, including TSP example, the algorithm in detail the characteristics of proof. Platform: |
Size: 249062 |
Author:张清华 |
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Description: 一个免疫遗传算法的介绍，包括TSP例子、算法各特点的详细证明等。-an immune genetic algorithms, including TSP example, the algorithm in detail the characteristics of proof. Platform: |
Size: 248832 |
Author:张清华 |
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Description: 免疫遗传算法解决TSP问题的源程序，属于本人写文章测试benchmark problem用的程序。-Immune genetic algorithm to solve TSP problem source, which I write the test procedures used benchmark problem. Platform: |
Size: 4096 |
Author:朱京红 |
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Description: 免疫遗传算法用于搜索全局最优解,经验证具有很好的效率和收敛性-Immune genetic algorithm used to search the global optimal solution, experience card has good efficiency and convergence Platform: |
Size: 6144 |
Author:slanting |
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Description: C++实现的免疫遗传算法，解决TSP问题，适合初学者去学习。-C++ implementation of the immune genetic algorithm to solve TSP problem, suitable for beginners to learn. Platform: |
Size: 2048 |
Author:xubing |
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Description: 运用免疫遗传算法来求解TSP问题，在遗传算法执行中加入免疫算子-The use of immune genetic algorithm to solve TSP problems, the implementation of genetic algorithm by adding immune operator Platform: |
Size: 613376 |
Author:绿茶 |
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Description: 免疫记遗传算法在TSP中的应用，经实验仿真，发现本方法快速有效-Immune genetic algorithm in TSP in mind the application of the experimental simulation, found that this method is rapid and effective Platform: |
Size: 7168 |
Author:曾行 |
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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(TMSM), 和基于TMSM 的并行免疫记忆克隆选择算法(PIMCSA) TMSM
是粗粒度的两层并行人工免疫模型, 其设计体现了分布式的免疫响应和免疫记忆机制. PIMCSA 用疫苗的迁移代替了抗体的迁移, 兼顾了种群多样性的保持和算法的收敛速度. 与其他算法相比, PIMCSA 在求解精度和运行时间上都更具优势, 而且问题规模越大优势越明显. TMSM 很好地体现了免疫系统的特性, PIMCSA 是适合求解大规模复杂优化问题
的并行人工免疫算法, 具有良好的可扩展性.-This paper presents a parallel model termed as towerlike master slave model (TMSM) for artificial immune systems. Based on TMSM, the parallel immune memory clonal selection algorithm ( PIMCSA) is also designed for dealing with large scale TSP problems. TMSM is a two level coarse grained parallel artificial immune model with distributed immune response and dis
tributed immune memory. In PIMCSA, vaccines are extracted and migrated between populations rather than antibodies as has been done in parallel genetic algorithms, it is a good balance between the diversity maintenance of populations and the convergent speed of the algorithm. PIMCSA shows superiority over other compared approaches both in solution quality and computation time, and the
lager the problem size the more outstanding the predominance will be. TMSM is a good simulation of biological immune system, and PIMCSA is a parallel artificial immune algorithm with good extensibility, which is capable of solving large scale and c Platform: |
Size: 435200 |
Author:崔冰 |
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Description: SP(旅行商)问题代表组合优化问题,具有很强的工程背景和实际应用价值,但至今尚未找到非常有效的
求解方法.为此,讨论了最近研究比较热门的使用各种智能优化算法(蚁群算法、遗传算法、模拟退火算法、禁忌搜索
算法、Hopfield神经网络、粒子群优化算法、免疫算法等)求解 TSP问题的研究进展,指出了各种方法的优缺点和改
进策略.最后总结并提出了智能优化算法求解 TSP问题的未来研究方向和建议.
-Traveling salesman problem (TSP) is the representation of a kind of combination optimization problems,
possessing a strong engineering background and practical application value. However, there is no effective corre
2 sponding solution to it. A im at that, the research and application of themostpopularmeta
2heuristicmethods such as ant colony algorithm, genetic algorithm, simulated annealing, tabu search, hopfield neural network, particle swarm optimization and immune algorithm, etc. are reviewed. The advantages and disadvantages of each method and the improvement strategies are discussed. The future research direction and sug
Platform: |
Size: 399360 |
Author:chenchen |
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Description: 采用matlab语言进行编程，运用遗传免疫算法，旨在解决TSP旅行商问题-Using matlab language programming, the use of genetic immune algorithm, to solve the traveling salesman problem TSP Platform: |
Size: 59392 |
Author:liuxing |
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Search - immune genetic algorithm TSP