نتایج جستجو برای: modified nsgaii

تعداد نتایج: 250922  

2013
Guoshun Zhang James M. Hamlett Patrick Reed Yong Tang

Multi-objective optimization linked with an urban stormwater model is used in this study to identify cost-effective low impact development (LID) implementation designs for small urbanizing watersheds. The epsilon-Non-Dominated Sorting Genetic Algorithm II (ε-NSGAII) has been coupled with the US Environmental Protection Agency’s Stormwater Management Model (SWMM) to balance the costs and the hyd...

Journal: :Trends in plant science 2015
Stefaan Blancke Frank Van Breusegem Geert De Jaeger Johan Braeckman Marc Van Montagu

Public opposition to genetically modified organisms (GMOs) remains strong. By contrast, studies demonstrate again and again that GM crops make a valuable contribution to the development of a sustainable type of agriculture. The discrepancy between public opinion and the scientific evidence requires an explanation. We argue that intuitive expectations about the world render the human mind vulner...

2010
Qian He Junliang Chen Xiangwu Meng Yanlei Shang

Cooperative caching and relaying content in ISPs can decrease the bandwidth costs and distribution time. The relay resources installed at ISP are limited and the upload rates of relay servers are various. After formulating the optimization problem, we design a Nondominated Sorting Bit matrix Genetic Algorithm (NSBGA) to solve it. Constraint-satisfied population is initialized according to resou...

2008
Saúl Zapotecas Martínez Carlos A. Coello Coello

The hybridization of multi-objective evolutionary algorithms (MOEAs) with mathematical programming techniques has gained increasing popularity in the specialized literature in the last few years. However, such hybrids normally rely on the use of gradients and, therefore, normally consume a high number of extra objective function evaluations in order to estimate the gradient information required...

2010
A. Boukhobza A. Taleb Ahmed N. Taleb

In this paper, we propose an optimisation method based on a multi-objective Genetic Algorithm (GA) for the design of orthogonal filter banks in an image coding scheme. A parameterization is used to achieve perfect reconstruction orthonormal FIR filter banks with a first order regularity. We search the optimal parameter set according to the coding gain, frequency selectivity and the group delay ...

2015
Mohammad Mohammadi

This paper presents an optimization of photovoltaic water pumping system (PWPS) considering the reliability criteria and economic aspects. In this way loss of load probability (LLP) as reliability criteria and life cycle cost (LCC) as economic criteria are used to simulate the performance of the PWPS. The sizing of a photovoltaic pumping system means the sizing of the photovoltaic module number...

2010
Marc Van den Bulcke Antoon Lievens Elodie Barbau-Piednoir Guillaume MbongoloMbella Nancy Roosens Myriam Sneyers Amaya Leunda Casi

The detection of genetically modified (GM) materials in food and feed products is a complex multi-step analytical process invoking screening, identification, and often quantification of the genetically modified organisms (GMO) present in a sample. "Combinatory qPCR SYBRGreen screening" (CoSYPS) is a matrix-based approach for determining the presence of GM plant materials in products. The CoSYPS...

2012
Datong Xie Lixin Ding Shenwen Wang Zhaolu Guo Yurong Hu Chengwang Xie

As an efficient and effective evolutionary algorithm, Differential evolution (DE) has received ever-increasing attention over recent years. However, how to make DE suitable for multi-objective optimization is still worth further studying. Moreover, various means from different perspectives are promising to promote the performance of the algorithm. In this study, we propose a novel multi-objecti...

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