A new multi-objective evolutionary framework for community mining in dynamic social networks
(26)
(23)
Publication Date
Thu Apr 01 2021
Journal Name
Applied Soft Computing
(8)
(7)
Publication Date
Thu Oct 31 2019
Journal Name
Journal Of Theoretical And Applied Information Technology
(5)
Publication Date
Sat Sep 01 2012
Journal Name
Journal Of Economics And Administrative Sciences
New Approach for Solving Multi – Objective Problems
متعدد الأهداف
الحل الأمثل
اتخاذ القرار
الحل الفعال
التركيبة الخطية
Multi – objective
optimal solution
decision making
efficient solution
linear combination
There are many researches deals with constructing an efficient solutions for real problem having Multi - objective confronted with each others. In this paper we construct a decision for Multi – objectives based on building a mathematical model formulating a unique objective function by combining the confronted objectives functions. Also we are presented some theories concerning this problem. Areal application problem has been presented to show the efficiency of the performance of our model and the method. Finally we obtained some results by randomly generating some problems.
Publication Date
Thu Dec 01 2011
Journal Name
Swarm And Evolutionary Computation
(172)
(140)
Publication Date
Sun Jul 01 2012
Journal Name
Applied Soft Computing
(249)
(204)
Publication Date
Wed Nov 12 2014
Journal Name
Wireless Personal Communications
A Multi-objective Disjoint Set Covers for Reliable Lifetime Maximization of Wireless Sensor Networks
(19)
(14)
Publication Date
Sat Dec 01 2018
Journal Name
Applied Soft Computing
(15)
(9)
Publication Date
Mon Jan 28 2019
Journal Name
Soft Computing
(13)
(12)
Publication Date
Mon Oct 05 2020
Journal Name
International Journal Of Advanced Science And Technology
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
Publication Date
Fri May 01 2020
Journal Name
International Journal Of Advanced Science And Technology
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
Zernike Moments
Deep learning
Convolutional Neural Networks
Wavelet
transforms
Slanlet transform
Informational retrieval
Background/Objectives: The purpose of current research aims to a modified image representation framework for Content-Based Image Retrieval (CBIR) through gray scale input image, Zernike Moments (ZMs) properties, Local Binary Pattern (LBP), Y Color Space, Slantlet Transform (SLT), and Discrete Wavelet Transform (DWT). Methods/Statistical analysis: This study surveyed and analysed three standard datasets WANG V1.0, WANG V2.0, and Caltech 101. The features an image of objects in this sets that belong to 101 classes-with approximately 40-800 images for every category. The suggested infrastructure within the study seeks to present a description and operationalization of the CBIR system through automated attribute extraction system premised on CN
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