Because that algorithm using a single search strategy is difficult to balance the global search with local search,and easy to fall into local optimization,a new algorithm(Ne-PSO) which integrates PSO with local neighborhood search is presented.
为解决采用单一搜索策略的算法很难兼顾全局搜索和局部搜索,且易陷入局部优化的问题,提出一种融合粒子群优化和局部邻域搜索思想的新算法(Ne-PSO)。
参考来源 - 融合粒子群和局部邻域搜索的优化算法·2,447,543篇论文数据，部分数据来源于NoteExpress
PLS算子通过聚类分析将种群分割为互不相交的邻域子种群，对每一个子种群应用单纯形法进行并行局部搜索。
PLS partitions the population into a group of disjoint subpopulations by cluster analysis, then USES simplex method to search local optima in each subpopulation in parallel.
构造了新的邻域结构，采用了部分随机跳坑策略，对此问题提出了新的局部搜索算法。
Using a new neighborhood structure and partly randomized off-trap strategy, a novel local search algorithm for protein structure prediction is proposed.
算法局部搜索过程中采用的基于关键路径的邻域结构缩小了问题的搜索空间。
The critical block based neighborhood structure of the problem in the local search procedure reduces the searching space of the problem and increases the probability of ants finding good solutions.
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