نتایج جستجو برای: infill drilling net present value particle swarm optimization

تعداد نتایج: 2503443  

2014
Heena R. Kher Josien P. W. Pluim J. B. Antoine Maintz Jiarui Lin Zhiyong Gao Bangquan Xu Yangxiezi Cao Zhan yingjian Li Junli CONG Rijuan Jin Linpeng Wei Ping Anrong Yang Caixing Lin Hongqiang Li Hua-Mei Chen Pramod K. Varshney Manoj K. Arora

The aim of this research is to register satellite images on the DSP processor using probabilistic optimization method named as particle swarm optimization. Satellite image registration is necessary in order to find change detection, to eliminate influence of camera distortion (roll, pitch and yaw), merge satellite imagery and in urban planning. Particle Swarm Optimization is a stochastic search...

2014
R. INDUMATHY S. UMA MAHESWARI

This paper introduces an effectual technique to solve the DNA sequence assembly problem using a variance of the standard Particle Swarm Optimization (PSO) called the Constriction factor Particle Swarm Optimization (CPSO).The problem of sequence assembly is one of the primary problems in computational molecular biology that requires optimization methodologies to rebuild the original DNA sequence...

M. Shahrouzi,

Earthquake time history records are required to perform dynamic nonlinear analyses. In order to provide a suitable set of such records, they are scaled to match a target spectrum as introduced in the well-known design codes. Corresponding scaling factors are taken similar in practice however, optimizing them reduces extra-ordinary economic charge for the seismic design. In the present work a ne...

2012
Peter Andras

Particle swarm optimization is a popular method for solving difficult optimization problems. There have been attempts to formulate the method in formal probabilistic or stochastic terms (e.g. bare bones particle swarm) with the aim to achieve more generality and explain the practical behavior of the method. Here we present a Bayesian interpretation of the particle swarm optimization. This inter...

2015
Liu Xiao-jun

In view of shortcomings of the particle swarm optimization algorithm such as poor late optimization ability and proneness to local optimization etc, this paper proposes an opposition-based learning particle swarm optimization (OBLPSO) algorithm for the optimization of logistics distribution routes, firstly, establishes a logistics distribution route optimization mathematical model, and then sol...

2011
Yi-Chang Cheng Sheng-Fuu Lin Chi-Yao Hsu

This paper proposes a combination of particle swarm optimization (PSO) and Q-value based safe reinforcement learning scheme for neuro-fuzzy systems (NFS). The proposed Q-value based particle swarm optimization (QPSO) fulfills PSO-based NFS with reinforcement learning; that is, it provides PSO-based NFS an alternative to learn optimal control policies under environments where only weak reinforce...

2012
Yanhua Zhong

Currently, the researchers have made a lot of hybrid particle swarm algorithm in order to solve the shortcomings that the Particle Swarm Algorithms is easy to converge to local extremum, these algorithms declare that there has been better than the standard particle swarm. This study selects three kinds of representative hybrid particle swarm optimizations (differential evolution particle swarm ...

2010
Longquan YONG

We investigate the NP-hard absolute value equation (AVE) Au |u| = b, where A is an arbitrary square matrix. In this paper, we present a smoothing method for the AVE. First, we replace the absolute value function by a smooth one, called aggregate function. With this smoothing technique, we formulate the non-smooth AVE as a smooth nonlinear equations, furthermore, an unconstrained differentiable ...

2014
Ming-Fang WANG Jie WANG Xue-Jun ZHAO

The basic thought of particle swarm optimization is introduced firstly, then particle swarm optimization algorithm model is established. The application of the improved particle swarm optimization algorithm to power supply system fault diagnosis is analyzed in accordance with problem of the algorithm, and migration strategy is added to particle swarm optimization algorithm. Finally the paramete...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علم و صنعت ایران - دانشکده مهندسی عمران 1385

امروزه انرژی نقش بسیار مهمی در زندگی بشر دارد با افزایش جمعیت و کمبود منابع انرژی استفاده و بهره وری بهینه از منابع انرژی از اهمیت خاصی برخوردار شده است. از جمله این منابع انرژی انرژی الکتریسته است که در ایستگاههای پمپاژ نقشی اساسی ایفا می کند. در سیستمهای پمپاژ مهمترین عامل نحوه عملکرد پمپها می باشد از انجا که راندمان پمپ با دبی ان تغییر می کند بنابراین میزان انرژی مصرفی در واحد حجم اب پمپاژ ش...

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