Search Results - subject:"clustering algorithm"

Fuzzy Logic Based Clustering Algorithm for Wireless Sensor Networks

El Alami, Hassan; Najid, Abdellah - In: International Journal of Fuzzy System Applications (IJFSA) 6 (2017) 4, pp. 63-82

lifetime. The energy is a major issue in order to increase the lifetime of WSNs. The clustering algorithm is one of the … proposed algorithms to enhance the lifetime of WSNs. The operation of the clustering algorithm is divided into cluster heads … considered the cluster formation process, which is the important issue in clustering algorithm based routing schemes, and it can …

Persistent link: https://www.econbiz.de/10012044841

AN ALGORITHM BASED APPROACH FOR ROMANIA’S ROAD TOWARDS THE EURO-AREA MEMBERSHIP STATUS. IN SEARCH OF A SUITABLE EXAMPLE*

Assoc. Prof. Anca Tãnasie Ph.D; PhD, Lect. Rãzvan … - In: Revista Tinerilor Economisti (The Young Economists Journal) 1 (2011) 17, pp. 133-140

Persistent link: https://www.econbiz.de/10010819455

A new methodology to cluster derivative product modules : an application

Aydin, Merve; Ulutas, Berna Haktanirlar - In: International journal of production research 54 (2016) 23/24, pp. 7091-7099

Persistent link: https://www.econbiz.de/10011566245

Forecasting of rockbursts in deep underground engineering based on abstraction ant colony clustering algorithm

Gao, Wei - In: Natural Hazards 76 (2015) 3, pp. 1625-1649

accuracy of the traditional ant colony clustering algorithm, an abstraction ant colony clustering algorithm using a data … abstraction ant colony clustering algorithm, a new method for forecasting rockbursts in deep underground engineering is proposed …, compared with the traditional ant colony clustering algorithm and based on their similar computational difficulty and …

Persistent link: https://www.econbiz.de/10011241088

Tests for statistical significance of a treatment effect in the presence of hidden sub-populations

Karmakar, B.; Dhara, K.; Dey, K.; Basu, A.; Ghosh, A. - In: Statistical Methods and Applications 24 (2015) 1, pp. 97-119

limitations. These proposed methods first use a suitable clustering algorithm to find the hidden sub-populations, and then they …

Persistent link: https://www.econbiz.de/10011241336

World Wide Web Metasearch Clustering Algorithm

LIPAI, Adina - In: Informatica Economica XII (2008) 2, pp. 5-11

As the storage capacity and the processing speed of search engine is growing to keep up with the constant expansion of the World Wide Web, the user is facing an increasing list of results for a given query. A simple query composed of common words sometimes have hundreds even thousands of results...

Persistent link: https://www.econbiz.de/10009416377

A survey of dynamic equivalent modeling for wind farm

Zou, Jianxiao; Peng, Chao; Yan, Yan; Zheng, Hong; Li, Yan - In: Renewable and Sustainable Energy Reviews 40 (2014) C, pp. 956-963

With the increasing of grid connected wind power capacity, dynamic equivalent modeling for large wind farm have become more and more important as the tool to analyze the influence of power system stability with large-scale grid-connected wind farms. Recently doubly-fed induction wind generator...

Persistent link: https://www.econbiz.de/10011077198

China’s tropical cyclone disaster risk source analysis based on the gray density clustering

Zhang, L.; Zhu, H.; Sun, X. - In: Natural Hazards 71 (2014) 2, pp. 1053-1065

cyclones in different sea areas are not clear. This paper uses gray relational density clustering algorithm to cluster tropical …

Persistent link: https://www.econbiz.de/10010996635

A holonic approach to flexible flow shop scheduling under stochastic processing times

Wang, Kai; Choi, Shiu Hong - In: Computers & operations research : and their … 43 (2014), pp. 157-168

Persistent link: https://www.econbiz.de/10010241969

Global Optimization by Differential Evolution and Particle Swarm Methods: Evaluation on Some Benchmark Functions

Mishra, SK - Volkswirtschaftliche Fakultät, … - 2006

In this paper we compare the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, seventy test functions have been chosen. Among these test functions, some are new while others are well known in the literature; some are...

Persistent link: https://www.econbiz.de/10005835615