Kuan-Wei Huang 1, Jen-Hung Huang 1 and Gwo-Hshiung Tzeng 2,3,* 1 Department of Management Science, National Chiao Tung University, Hsinchu 30010, Taiwan; [email protected] (K.-W.H.); [email protected] (J.-H.H.) 2 Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, San Shia District, New Taipei City 23741, Taiwan 3 Institute of Management of Techn...

The computation of image segmentation has become more complicated with the increasing number of thresholds, and the option and application of the thresholds in image thresholding fields have become an NP problem at the same time. The paper puts forward the modified discrete grey wolf optimizer algorithm (MDGWO), which improves on the optimal solution updating mechanism of the search agent by th...

In this work, a novel binary version of the grey wolf optimization (GWO) is proposed and used to select optimal feature subset for classification purposes. Grey wolf optimizer (GWO) is one of the latest bioinspired optimization techniques, which simulate the hunting process of grey wolves in nature. The binary version introduced here is performed using two different approaches. In the first app...

Received Dec 24, 2016 Revised Apr 26, 2017 Accepted Jun 14, 2017 The augment of ecological shield and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources into existing power system. Wind power is becoming worldwide a significant component of the power generation portfolio. Profuse literatures have been reported for...

Energy use of sensor nodes efficiently and extending the lifetime heterogeneous wireless networks (HWSNs) is a main goal HWSNs routing optimization methods, therefore building an energy-efficient protocol becomes critical for HWSN performance improvement. They present based on grey wolf optimizer (GWO) Tabu search algorithm (TSA) in this paper. Proposed system with primary objectives include cl...

First published: 15 February 2017 Full publication history DOI: 10.1111/ajco.12670 View/save citation Cited by: 0 articles John Wen-Cheng Chang, Jun Guo, Chia-Yen Hung , Si Lu, Sang Joon Shin, Richard Quek, Anthony Ying, Gwo Fuang Ho, Huu Sau Nguyen, Boman Dhabhar, Virote Sriuranpong, Maria Luisa Tiambeng, Nugroho Prayogo, Naoya Yamazaki Browse Early View Articles Online Version of Record publi...

The tuning of optimal controller parameters in wind plant is crucial order to minimize the effect wake interaction between turbines. purpose this paper develop an improved grey wolf optimizer (I-GWO) tune turbines so that total energy production a increased. updating mechanism original GWO modified improve efficiency exploration and exploitation phase while avoiding trapping local minima soluti...

The evaluation of seismic slope performance during earthquakes is important, because the failure of slope (such as an earth dam, natural slope, or constructed earth embankment) can result in significant financial losses and human. It is important, therefore, to be able to forecast such displacements induced by earthquake. However, the traditional forecasting methods, such as empirical formulae,...

This paper presents grey wolf optimization - GWO. After presenting the biological basis of GWO, it explains method itself and then main algorithms GWO as well their mathematical models. The Grey Wolf Algorithm (GWO) is presented in detail manner its operation application to examples engineering problems, such as: speed reducer, pressure vessel, spring, car side impact, cone coupling cantilever ...