A New Optimization Model for Dynamic Power and Sub-Carrier
標(biāo)簽: Optimization Sub-Carrier Dynamic Model
上傳時(shí)間: 2014-01-01
上傳用戶:jiahao131
Red Hat Linux Security And Optimization 2002,有關(guān)linux的講解
標(biāo)簽: Optimization Security Linux 2002
上傳時(shí)間: 2013-12-24
上傳用戶:songyue1991
Curve Fitting Toolbox,Excel Link,Financial Toolbox,Financial Time Series Toolbox,Optimization Toolbox
標(biāo)簽: Toolbox Financial Optimization Fitting
上傳時(shí)間: 2016-03-24
上傳用戶:qwe1234
A dissipative particle swarm Optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively. structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively.
標(biāo)簽: self-organization Optimization dissipative developed
上傳時(shí)間: 2016-03-31
上傳用戶:zgu489
Swarm intelligence algorithms are based on natural behaviors. Particle swarm Optimization (PSO) is a stochastic search and Optimization tool. Changes in the PSO parameters, namely the inertia weight and the cognitive and social acceleration constants, affect the performance of the search process. This paper presents a novel method to dynamically change the values of these parameters during the search. Adaptive critic design (ACD) has been applied for dynamically changing the values of the PSO parameters.
標(biāo)簽: intelligence Optimization algorithms behaviors
上傳時(shí)間: 2014-01-08
上傳用戶:lgnf
Performance Optimization. major in GC
標(biāo)簽: Optimization Performance major GC
上傳時(shí)間: 2014-06-15
上傳用戶:GavinNeko
Optimization Algorithms螞蟻算法!~
標(biāo)簽: Optimization Algorithms 螞蟻算法
上傳時(shí)間: 2014-01-06
上傳用戶:愛死愛死
GloptiPoly 3: moments, Optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional Optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as Optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].
標(biāo)簽: Optimization semidefinite programming GloptiPoly
上傳時(shí)間: 2016-06-05
上傳用戶:lgnf
Univariate local or global Optimization matlab最優(yōu)化工具包,可以進(jìn)行最優(yōu)化點(diǎn)的搜尋。
標(biāo)簽: Optimization Univariate global matlab
上傳時(shí)間: 2013-11-30
上傳用戶:電子世界
PXA27x Processor Family Optimization Guide
標(biāo)簽: Optimization Processor Family Guide
上傳時(shí)間: 2016-06-17
上傳用戶:lwwhust
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