... multimedia 多媒体 multimodal function optimization 多模态函数优化 multimode fiber 多模光纤 ...
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And a novel sequential multi-population niche PSO algorithm which aims at find out all the global and local optimal solutions is proposed. Experiments for the multimodal function optimization show that the proposed algorithm has strong adaptability and convergence.4.
数值实验表明,改进的小生境粒子群算法在求解多模态函数优化问题时具有较好的自适应性和收敛性。
参考来源 - 自然计算模型在优化问题中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Referred to the character of particle swarm optimization and immune network theory, an immune particle swarm network algorithm for multimodal function optimization is proposed.
针对多峰函数优化问题，借鉴粒子群优化特性和免疫网络理论，提出一种免疫粒子群网络算法。
The simulative experimental results show that it has obvious improvement in multimodal function optimization problems with the case of the average run time reduced to 56% of the former.
仿真实验的结果也表明该算法在平均运行时间减少了56%的情况下多峰函数的优化效果得到了显著改善。
Particle Swarm optimization (PSO) algorithm is a population-based global optimization algorithm, but it is easy to be trapped into local minima in optimizing multimodal function.
粒子群优化算法应用于多极值点函数优化时，存在陷入局部极小点和搜寻效率低的问题。
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