نتایج جستجو برای: swarm intelligence particle swarm

تعداد نتایج: 281220  

2013
Manish Kumar Madhav Jyoti Kataria Amit Kumar Mukesh Chand

This paper proposes an optimization method for planning adequate number and location of automatic switches in a radial distribution system. The purpose is to maximize the profit of that service reliability indices achieve the required level. First, a network equivalent technique is introduced to calculate the reliability indices. Second, by using the equivalent method, system reliability indice...

2011
Abdeslam Kadrani Mohamed-Mahmoud Ould Sidi Michel Génard Françoise Lescourret

Agricultural systems have to adapt, in a changing climatic context, to face the growing social demand in terms of organoleptic, nutritional and environmental quality of food products. Thus, a crucial question for the future is how to manage fruit quality by finding the best combinations of genetic resources and cultural practices adapted to, and respectful of specific environments. This questio...

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 ...

Journal: :Theor. Comput. Sci. 2010
Ying-ping Chen Pei Jiang

In this paper, we analyze the behavior of particle swarm optimization (PSO) on the facet of particle interaction. We firstly propose a statistical interpretation of particle swarm optimization in order to capture the stochastic behavior of the entire swarm. Based on the statistical interpretation, we investigate the effect of particle interaction by focusing on the social-only model and derive ...

Journal: :Inf. Sci. 2015
Yi-Fan Hu Yongsheng Ding Lihong Ren Kuangrong Hao Hua Han

Article history: Received 9 December 2011 Received in revised form 4 November 2014 Accepted 19 November 2014 Available online 27 December 2014

Journal: :Inf. Sci. 2015
Ran Cheng Yaochu Jin

Article history: Received 19 October 2013 Received in revised form 5 August 2014 Accepted 16 August 2014 Available online 2 September 2014

Journal: :European Journal of Operational Research 2013
Zijun Zhang Andrew Kusiak Zhe Song

We present a model for scheduling power generation at a wind farm, and introduce a particle swarm optimization algorithm with a small world network structure to solve the model. The solution generated by the algorithm defines the operational status of wind turbines for a scheduling horizon selected by a decision maker. Different operational scenarios are constructed based on time series data of...

F. Tadbiri, M. Nouri, S. Talatahari,

Over the past few years, swarm intelligence based optimization techniques such as ant colony optimization and particle swarm optimization have received considerable attention from engineering researchers. These algorithms have been used in the solution of various structural optimization problems where the main goal is to minimize the weight of structures while satisfying all design requirements...

2013
S. Revathi

Due to access of malicious data in internet, Intrusion detection system becomes an important element in system security that controls real time data and leads to huge dimensional problem, so a data pre-processing is necessary to reduce haziness and to clean network data. To reduce false positive rate and to increase efficiency of detection, the paper proposed a new swarm intelligence technique ...

2011
Qiang Fu Qiuxiang Jiang Zilong Wang

Aiming at poor valuing objectivity for indicator weight in sustainability assessment of water resources use (SAWRU), an indicator system and a projection pursuit evaluation model optimized by particle swarm optimization algorithm were structured for SAWRU, and then the method was applied to the SAWRU of Sanjiang Plain. The applied results indicated that the method not only avoided artificial di...

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