(3)将求解TSP问题的局部搜索算法(Subpath Ejection Chain，SEC)融合到DPSO中，加快算法的搜索速度。 (4)对候选边的产生方法进行改进，进一步提高算法的收敛速度。
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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.
为了提高算法的搜索能力，结合模式搜索算法改进种群中的粒子，为类电磁算法提供了有效的局部信息。
In order to enhance the exploratory ability, the pattern search is incorporated to improve the particle which provides effective local information for the EM.
针对混合流水车间调度问题，提出了分阶段加工优先级的调度原则，并将迭代局部搜索算法应用于求解此问题。
Multistage processing priority was developed for the hybrid flow shop problem and an iterated local search algorithm was used for solving this kind of problem.
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