1.
A Multi-Operator Based Iterated Local Search Algorithm for the Capacitated Vehicle Routing Problem
基于多邻域的车辆路径优化迭代局部搜索算法
2.
The Intelligent Iterated Local Search Methods for the Basic Vehicle Routing Problem;
基于迭代局域搜索的智能优化算法求解车辆调度问题研究
3.
A Parallel Algorithm of One Dimensional Ransack Forecast Based on Local Orthogonalization
基于局部正交化的一维搜索预报并行算法
4.
Research of Reducing Local Optimal Error of Fast Search Algorithms;
降低快速搜索算法中局部最优误差的研究
5.
Local Search Algorithm for Solving Maximizing Submodular Set Function;
求解下模集函数最大值问题的局部搜索算法
6.
The study on greedy local search algorithm of 0-1 knapsack problem
0-1背包问题的贪心局部搜索算法研究
7.
Analysis of Early Termination of Partial Distortion Search
局部失真搜索算法的早期终止策略分析
8.
Hybrid particle swarm optimization based on local line search technique
嵌入局部一维搜索技术的混合粒子群优化算法
9.
A GENETIC LOCAL SEARCH ALGORITHM FOR MULTI-OBJECTIVE COMBINATORIAL OPTIMIZATION
一种求解多目标组合优化的遗传局部搜索算法
10.
Genetic Algorithm with Local Search for Automatic Test Paper Generation
基于局部搜索的遗传算法求解自动组卷问题
11.
A Local Search Algorithm for the Boolean Unsatisfiable Subformulae Extraction
一种求解布尔不可满足子式的局部搜索算法
12.
Quantum-inspired Genetic Algorithm with Local Search and Its Applications in Reactive Power Optimization
局部搜索量子遗传算法及其无功优化应用
13.
A Local-stem-search Algorithm to Predict The RNA Secondary Structure
基于局部茎搜索的RNA二级结构预测算法
14.
Ant colony algorithm based on tabu search to continuous space optimization
基于局部禁忌搜索策略的连续空间蚁群算法
15.
BINARIZATION METHOD OF PASSPORT IMAGE BASED ON GLOBAL ITERATIVE THRESHOLD AND LOCAL ANALYSIS
基于全局迭代阈值和局部分析的护照图像的二值化算法
16.
In the HAGA, a local search approach is embedded into the adaptive genetic algorithm (AGA) to improve its search performance.
在混合自适应遗传算法中，将一种局部搜索方法引入自适应遗传算法以提高其搜索能力。
17.
Differential evolution algorithm with chaotic-local-search strategy for global optimization
具有混沌局部搜索策略的差分进化全局优化算法
18.
Penalty function is introduced in the adaptive value function to speed up the convergence of the algorithm and ensure that the assignment reduction includes fewer attributes with stronger support.
在交叉规则中，采用了单点交叉，最大迭代代数被作为停止准则，算法获得较佳的搜索效果。