搜索资源列表
GAResource
- GA generation for introduces. We also provide some information on evolutionary algorithms used for optimization
SPEA2
- SPEA2,是一种多目标优化的算法，求可行解集速度比较快！-SPEA2 for multiobjective optimization method， the strength Pareto evolutionary algorithm2
Knap
- 矩形条带装箱问题(RSPP)是指将一组矩形装入在一个宽度固定高度不限的矩形容器中，以期 获得最小装箱高度．RSPP理论上属于NP难问题，在新闻组版、布料下料以及金属切割等工业领域中 有着广泛的应用．为解决该问题，采用了一种混合算法，即将一种新的启发式算法—— 动态匹配算 法—— 与遗传算法结合起来．混合算法中，动态匹配算法能根据4类启发式规则动态选择与装填区域相 匹配的下一个待装矩形，同时将装箱后所需容器高度用遗传算法的进化策略进行优化．对2组标准测试 问题的计算结果表明，相
algorithm
- 蚁群算法是一种新型的模拟进化算法，初步的研究表明该算法具有许多优良的性质， 利用蚁群算法求解一般函数优化，通过实验收到良好的效果-: Ant colony algorithm is a novel simulated evolutionary algorithm, a preliminary study shows that the algorithm has many good properties, General function of the ant colony optimiz
zlbPSO
- 实现多目标粒子群优化功能，重点是进化因子的选取。-Multi objective particle swarm optimization, with emphasis on evolutionary selection factor.
ABC_eld_2
- Solution to Economic Dispatch by Artificial Bee colony Algorithm
wangxiaoping
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法-Genetic algorithm (Genetic Algorithm) is a simulation of Darwinian evolution, natural selection and genetic mechanism of the calculation model of biological evolution is
dd
- 单亲进化遗传算法在多个配送中心选址中的应用-Single evolutionary genetic algorithm in multiple Distribution Center Applications
ss
- INTERFERENCE MITIGATION IN SPREAD SPECTRUM USING DISCRETE EVOLUTIONARY AND HOUGH TRANSFORMS -INTERFERENCE MITIGATION IN SPREAD SPECTRUM USING DISCRETE EVOLUTIONARY AND HOUGH TRANSFORMS
WS_net
- 复杂网络上演化博弈的小世界网络的算法等等希望有用-Evolutionary Game on Complex Networks of small world network of algorithms, and so wish to be useful
Application
- 本文将以改进后的单细胞FPTA2作为硬件演化平台，引入QEA控制其演化过程，通过实验证明在该平台上，QEA对演化过程的控制效果要优于传统的遗传算法。-This paper proposes the use of quantum-inspired evolutionary algorithm in analog evolvable hardware (EHW). The circuit coding representation, chromosome fitness evaluation met
ES
- 介绍带随机排序策略的进化策略算法。该算法是姚新老师的经典文章，文章中重点介绍了随机排序策略，及其优点，值得好好学习。-Stochastic Ranking for Constrained Evolutionary Optimization
EvolutionarydesignforaPDcontrollerforatankership.
- Evolutionary design for a PD controller for a tanker ship
intelligent_algorithm
- 该电子文档讲述了各种智能进化算法，适合算法研究的学生和工作人员进行参考学习-The intelligent electronic documents about a variety of evolutionary algorithms, algorithms for the students and staff for reference
Standard_evolutionary_algorithm_design_and_analysi
- 为了有效检测多目标优化进化算法的性能，从3 个方面进行多目标优化测试问题的设计，即约束条件、最优解分布的均匀性、算 法逼近Pareto 最优前沿的难度，采用NSGA-Ⅱ算法对这些测试问题进行仿真实验，并将算法求得的最优解可视化。结果显示，测试问题能够有效检测算法在上述3 方面的性能。-In order to effectively detect the multi-objective optimization evolutionary algorithm performance, from
a2
- 复件 演化程序――遗传算法和数据编码的结合-Copies evolutionary process- genetic algorithms and the combination of data encoding
my_ga_test1
- 该用matlab 实现的遗传算法可以用于多目标有约束优化，是我最近学习matlab时一个视频上讲的例子，视频在土豆网搜“matlab全局优化方法及应用”。希望多大家有用。-This genetic algorithm can be used to solve the multi-objective optimization.
sres.tar
- 基于约束的随机排序的演化优化算法程序，并且应用于12个例子-Constraint-based random sort of evolutionary optimization process, and applied to 12 examples
my_ga
- Rudolph G. Convergence analysis of canonical genetic algorithms. IEEE Trans. On Neural Networks, 1994,5:96~101 [36] Rudolph G. Asymptotic convergence rates of simple evolutionary algorithms with Cauchy mutations. IEEE Transactions on Evoluti
mock_handl_demo
- mock_handl_demo mock聚类程序，多目标进化算法应用于聚类的程序，经过调试通过，效果不错-mock_handl_demo mock clustering process, multi-objective evolutionary algorithm is applied to clustering process, after debugging through, good results