نتایج جستجو برای: objective invasive weed optimization entropy

تعداد نتایج: 1043120  

2012
Zhi YIN Mi WEN Chunming YE

An improved Invasive weed optimization (IWO) based on hybrid genetic (HGIWO) is presented. In the new arithmetic, the inertial weight is adaptively adjusted to improve the convergence speed. The weeds are multiples by the selection and hybridization of genetic arithmetic. The import of hybrid genes improves excellent performance of weeds and reduces likelihood on getting into local optimization...

2006
Martin M. Williams

Martin M. Williams II Corresponding author. U.S. Department of Agriculture—Agricultural Research Service, Invasive Weed Management Research, University of Illinois, 1102 S. Goodwin Ave., Urbana, IL 61801; [email protected] The critical period for weed control (CPWC) identifies the phase of the crop growth cycle when weed interference results in unacceptable yield losses; however, the effect of ...

2016
Ricardo Soto Broderick Crawford Carlos Castillo Fernando Paredes

Manufacturing plants are commonly organized in cells containing machines that process different parts of a given product. The Manufacturing Cell Design Problem (MCDP) aims at efficiently organizing the machines into cells in order to increase productivity by minimizing the inter-cell moves of parts. In this paper, we present a new approach based on Invasive Weed Optimization (IWO) for solving s...

2015
Poya Khalaf Hanz Richter Antonie J. van den Bogert Dan Simon

We design a control system for a prosthesis test robot that was previously developed for transfemoral prosthesis design and test. The robot’s control system aims to mimic human walking in the sagittal plane. It has been seen in previous work that trajectory control fails to produce human-like forces. Therefore, we utilize an impedance controller to achieve reasonable tracking of motion and forc...

With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...

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