نتایج جستجو برای: cpso

تعداد نتایج: 146  

2013
Mahdiyeh Eslami Hussain Shareef Azah Mohamed

This paper proposes a novel optimization technique for simultaneous coordinated designing of power system stabilizer (PSS) and static VAR compensator (SVC) as a damping controller in the multi-machine power system. PSO and chaos theory is hybridized to form a chaotic PSO (CPSO), which reasonably combines the population-based evolutionary searching ability of PSO and chaotic searching behavior. ...

Journal: :Mathematical Problems in Engineering 2022

Establishing an accurate and robust short-term load forecasting (STLF) model for a power system in safe operation rational dispatching is both required beneficial. Although deep long memory (LSTM) networks have been widely used applications, it still has some problems to optimize, such as unstable network performance optimization time. This study proposes adaptive step size self-organizing migr...

2007
Tuğrul Özel Yiğit Karpat

Advances in plasticity based analytical modeling and finite element methods (FEM) based numerical modeling of metal cutting have resulted in capabilities of predicting the physical phenomena in metal cutting such as forces, temperatures and stresses generated. However, accuracy and reliability of these predictions rely on a work material constitutive model describing the flow stress, at which w...

2013
A. N. Hussain F. Malek M. A. Rashid M. F. Haji Abd Malek

Enhancement of stability of the power system has been achieved by the application of Unified power flow controller (UPFC) device with an additional supplementary controller. This supplementary damping controller can be installed on any control channel of the UPFC inputs to implement the task of power oscillation damping (POD) controller. We have presented a comprehensive assessment and performe...

2017
Haifeng Xing Bo Hou Zhihui Lin Meifeng Guo

MEMS (Micro Electro Mechanical System) gyroscopes have been widely applied to various fields, but MEMS gyroscope random drift has nonlinear and non-stationary characteristics. It has attracted much attention to model and compensate the random drift because it can improve the precision of inertial devices. This paper has proposed to use wavelet filtering to reduce noise in the original data of M...

2007
Leif E. Peterson Matthew A. Coleman

A principal direction linear oracle (PDLO) ensemble classifier for DNA microarray gene expression data is proposed. The common fusion-selection ensemble based on weighted trust for a specifier classifier was replaced with pairs of subclassifiers of the same type using PDLO to perform a linear hyperplane split of training and testing samples. The hyperplane split forming the oracle was based on ...

2016
Wendy Yen Kathryn Hodwitz Niels Thakkar Maria Athina (Tina) Martimianakis Dan Faulkner

The increasing globalization of the medical profession has influenced health policy, health human resource planning, and medical regulation in Canada. Since the early 2000s, numerous policy initiatives have been created to facilitate the entry of international medical graduates (IMGs) into the Canadian workforce. In Ontario, the College of Physicians and Surgeons of Ontario (CPSO) developed alt...

2015
Sidhartha Panda Narendra Kumar Yegireddy

Controllers design problems are multi objective optimization problems as the controller must satisfy several performance measures that are often conflicting and competing with each other. In multi-objective approach a set of solutions can be generated from which the designer can select a final solution according to his requirement and need. This paper presents the design and analysis Proportion...

Journal: :Appl. Soft Comput. 2008
Ernesto Araujo Leandro dos Santos Coelho

Particle Swarm Optimization (PSO) approach intertwined with Lozi map chaotic sequences to obtain Takagi–Sugeno (TS) fuzzy model for representing dynamical behaviours are proposed in this paper. The proposed method is an alternative for nonlinear identification approaches especially when dealing with complex systems that cannot always be modelled using first principles to determine their dynamic...

Journal: :Inf. Sci. 2007
Oscar Montiel Oscar Castillo Patricia Melin Antonio Rodríguez Díaz Roberto Sepúlveda

The aim of this paper is to propose the Human Evolutionary Model (HEM) as a novel eomputational method for solv­ ing seareh and optimization problems with single or multiple objeetives, HEM is an intelligent evolutionary optimization method that uses eonsensus knowledge from experts with the aim of inferring the most suitable parameters to aehieve the evolution in an intelligent way, HEM is abl...

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