搜索资源列表
p1
- 巨大的数据量使显示速度成为制约普及和网络化的重要因素,文章结合4(5’公司的607(84空间数据引擎,提出了一种利用分级技术提高矢量图显示速度的方案,并讨论了几种插值算法在这一应用中的优缺点。- W ith the ant colony algorithm for solving the traveling salesman problem (TSP) as a prototype, a simpli- fied algorithm was developedwhich considered
KnapsackProblem
- 基本遗传算法带最优保存思想的背包问题,其中,目标值那段代码使用的是惩罚函数法,选择是概率选择,交叉是双点随机交叉,变异是概率变异-The basic genetic algorithm with elitist thinking knapsack problem, which is a target that part of the code using penalty function method, choice is the probability of selection, crosso
msops_c.tar
- MSOPS - Multiple Single Objective Pareto Sampling. MSOPS is an elitist multiobjective evolutionary algorithm which incorporates a non Pareto-dominance based multiobjective approach. Author: Tobias Wagner
TNSGA-II2000h
- 这是多目标优化问题的经典文章,值得研究。A Fast aand Elitist Multi,已通过测试。 -This is a classic multi-objective optimization problem, and is worth studying. A Fast aand Elitist Multi, has been tested.
evMOGA_toolbox
- ev-MOGA Multiobjective Evolutionary Algorithm has been developed by the Predictive Control and Heuristic optimization Group at Universitat Politècnica de València. ev-MOGA is an elitist multi-objective evolutionary algorithm based on the concept of e
nsga2-v1.1
- NSGA-2,带精英策略的进化算法,功能全面,涉及文件操作。(NSGA-2, an evolutionary algorithm with elitist strategies, is comprehensive and involves file operations.)
NSGA-II
- NSGA-2,带精英策略的进化算法,功能全面,涉及文件操作。这为另外一个版本(NSGA-2, an evolutionary algorithm with elitist strategies, is comprehensive and involves file operations.This is for another version)
大地电磁反演-精英选择改进
- 利精英选择改进后的遗传算法进行大地电磁视电阻率反演(Elitist modified genetic algorithm is used to retrieve magnetotelluric apparent resistivity.)