Opposition based learning: A literature review

S Mahdavi, S Rahnamayan, K Deb - Swarm and evolutionary computation, 2018 - Elsevier
Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …

Color histogram and first order statistics for content based image retrieval

M Imran, R Hashim, NEA Khalid - … Advances on Soft Computing and Data …, 2014 - Springer
Abstract Content Based Image Retrieval (CBIR) is one of the fastest growing research areas
in the domain of multimedia. Due to the increase in digital contents these days, users are …

[PDF][PDF] A hybrid particle swarm optimization (PSO) with chi-square and stable mutation jump strategy

R Anum, M Imran, R Hahsim, A Mahmood… - Int J Adv Appl …, 2016 - researchgate.net
Particle Swarm is a heuristic technique based on collective behavior of birds. Several
researches depicts that the PSO suffers from untimely convergence. To defeat the issue of …

Stochastic optimized relevance feedback particle swarm optimization for content based image retrieval

M Imran, R Hashim, AK Noor Elaiza… - The Scientific World …, 2014 - Wiley Online Library
One of the major challenges for the CBIR is to bridge the gap between low level features
and high level semantics according to the need of the user. To overcome this gap, relevance …

Content based image retrieval using MPEG-7 and histogram

M Imran, R Hashim, NE Abd Khalid - … on Soft Computing and Data Mining …, 2014 - Springer
Rapid development of multimedia technologies made Content Based Image Retrieval
(CBIR) an energetic research area for the researchers of multimedia domain. Texture and …

Content based image retrieval using color layout descriptor and generic fourier descriptor

M Imran, R Hashim, N Elaiza - … of the 1st International Conference on …, 2015 - Springer
Image databases have been a significant part of systems or applications in many fields
including education, forensics and medical sciences. However, due to the increase in the …

[PDF][PDF] A Modified Particle Swarm Optimization Algorithm for Engineering Optimizations

SU Khan, L Liu, L Wang, S Yang - 2015 - pdfs.semanticscholar.org
Recently, various improvements have been made in the way of modern optimization. Some
promising techniques include, to name but a few, evolutionary programming, artificial …

[PDF][PDF] Improved Scheme of E-mail Spam Classification Using Meta-heuristics Feature Selection and Support Vector Machine

NOFE Hamed - 2015 - core.ac.uk
With the technological revolution in the 21 st century, time and distance of communication
are decreased by using electronic mail (e-mail). Furthermore, the growing use of e-mail has …

[PDF][PDF] Swarm and Evolutionary Computation

D Yazdani, B Nasiri, A Sepas-Moghaddam, M Meybodi… - 2014 - Citeseer
abstract Artificial fish swarm algorithm (AFSA) is one of the state-of-the-art swarm
intelligence algorithms that is widely used for optimization purposes in static environments …

[引用][C] urvey of strategie

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