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Particle-Swarm-Optimization
- This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the abil
A-BEE-COLONY-OPTIMIZATION-ALGORITHM-TO-JOB-SHOP-S
- A BEE COLONY OPTIMIZATION ALGORITHM TO JOB SHOP SCHEDULING
Using-Bee-Colony-Optimization-to-Solve-the-Task-S
- Using Bee Colony Optimization to Solve the Task Scheduling Problem in Homogenous Systems
chaotic-keril-her-optimization
- chaotic keril her optimization
SNOPT-Optimization
- SNOPT学习材料，介绍理论算法,通过SQP算法求解非线性规划问题-SNOPT-An SQP Algorithm for Large-Scale Constrained Optimization
Orthogonal-Teaching-Learning-Based-Optimization.z
- - document for orthogonal TLBO. teaching learning based optimization. we have attempted to use it with kmeans in hadoop.
Discrete-Optimization
- Discrete Optimization techniques
cat-swarm-optimization
- In this paper, we present a new algorithm of swarm intelligence, namely, Cat Swarm Optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of two sub-models, i.e., tracing mode and seeking mode, which model upon th
memetic-optimization-in-multiobject
- memetic optimization in multiobject
Microgrid-Optimization--Modelling-and-Control
- Microgrid Optimization, Modelling and Control
optimization-code
- steel frame optimization
optimization-fgoalattain
- Matlab的fgoalattain解决悬置多目标解耦的非线性优化问题+实例-Nonlinear optimization problem of fgoalattain s Matlab to solve the problem of multi objective decoupling of suspension
7-Optimization
- application of optimization in planning
Low-Power-SC-CMFB-Folded-Cascode-OTA-Optimization
- Low Power SC CMFB Folded Cascode OTA Optimization
Evolutionary Algorithms based Controller Optimization for a Real Time Spherical Tank System
- Evolutionary Algorithms based Controller Optimization for a Real Time Spherical Tank System System
Chaotic System Parameter Identification Based on Firefly Optimization
- Chaotic System Parameter Identification Based on Firefly Optimization Chaotic System Parameter Identification Based on Firefly Optimization
Chaotic System Parameter Identification Based on Firefly Optimization
- Chaotic System Parameter Identification Based on Firefly Optimization
control-and-Optimization-schemes-of-future-grids.
- control and Optimization schemes of future grids
Particle-Swarm-Optimization
- 粒子群算法在仿真生物群体社会活动的基础上,通过模拟群体生物 相互协同寻优能力,从而构造出一种新的智能优化算法。但粒子群算法 本身来源于生物群体现象,其理论基础并不完备。而且由于其属于随机 的近似优化算法,主要应用于连续区域,因此该算法存在早熟收敛和对 离散性的问题难以应用的缺点。因此,对粒子群算法的理论分析、算法 改进及离散性问题的研究具有重要意义的 -The Research of Basic Theory and Improvement on Particle Swa
Data-Mining-Optimization-Ontology
- algorithm and model selection (and combination) DM workflow ranking DM workflow meta-mining and optimization