Analysis of cartesian genetic programming's evolutionary mechanisms

BW Goldman, WF Punch - IEEE Transactions on Evolutionary …, 2014 - ieeexplore.ieee.org
Understanding how search operators interact with solution representation is a critical step to
improving search. In Cartesian genetic programming (CGP), and genetic programming (GP) …

American sign language recognition system for hearing impaired people using cartesian genetic programming

F Ullah - The 5th International Conference on Automation …, 2011 - ieeexplore.ieee.org
American Sign Language (ASL) is a well developed and standard way of communication for
hearing impaired people living in English speaking communities. Since the advent of …

Electricity peak load forecasting using CGP based neuro evolutionary techniques

GM Khan, R Arshad - International Journal of Computational …, 2016 - Taylor & Francis
Abstract Proficient Economic and Financial planning is critical to the successful and efficient
operation of power generating and distributing units. This planning becomes quite facile if …

Improving the performance of CGPANN for breast cancer diagnosis using crossover and radial basis functions

T Manning, P Walsh - … Computation, Machine Learning and Data Mining in …, 2013 - Springer
Recently published evaluations of the topology and weight evolving artificial neural network
algorithm Cartesian genetic programming evolved artificial neural networks (CGPANN) have …

Intelligent bandwidth estimation for variable bit rate traffic

GM Khan, R Arshad, SA Mahmud… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
A novel neuro-evolutionary Cartesian genetic programming-based frame size estimator for
multimedia streaming applications has been proposed in this letter. The frame size obtained …

Symbolic regression on network properties

M Märtens, F Kuipers, P Van Mieghem - Genetic Programming: 20th …, 2017 - Springer
Networks are continuously growing in complexity, which creates challenges for determining
their most important characteristics. While analytical bounds are often too conservative, the …

Intelligent bandwidth management using fast learning neural networks

F Ullah, GM Khan, SA Mahmud - 2012 IEEE 14th International …, 2012 - ieeexplore.ieee.org
A fast learning neural network based scheduling system is presented to predict the frames
on a single and multi-user MPEG-4 traffic and to distribute the bandwidth accordingly. MPEG …

Smart bandwidth management using a recurrent Neuro-Evolutionary technique

R Arshad, GM Khan, SA Mahmud - 2014 International Joint …, 2014 - ieeexplore.ieee.org
The requirement for correct bandwidth allocation and management in a multitude of different
communication mediums has generated some exceedingly tedious challenges that need to …

[PDF][PDF] Evolutionary Wavelet Neural Networks in Data Classification and Dynamic Control

MM KHAN - 2018 - nova.newcastle.edu.au
To further improve the classification performance of EWNNs, an ensemble EWNN (EWNN-e)
was proposed. In this method, a genetic algorithm was used to prune trained EWNN …

Study of estimation of distribution algorithms applied to neuroevolution

G Holker - rshare.library.torontomu.ca
This thesis proposes a methodology for the automatic design of neural networks via
Estimation ofDistribution Algorithms (EDA). The method evolves both topology and weights …