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Found 8 papers, 0 papers with code
A Bio-Medical Snake Optimizer System Driven by Logarithmic Surviving Global Search for Optimizing Feature Selection and its application for Disorder Recognition
These are used in exploration to allow solutions to be found more thoroughly and in relation to a chosen solution than at random.
Effects of term weighting approach with and without stop words removing on Arabic text classification
Text documents must be prepared and represented in a way that is appropriate for the algorithms used for data mining prior to classification.
Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution
This research proposes a specialty detection classifier based on a machine learning model to automate the process of detecting the correct specialty for each question and routing it to the correct doctor.
An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron
This paper proposes an Intrusion Detection System (IDS) employing the Harris Hawks Optimization algorithm (HHO) to optimize Multilayer Perceptron learning by optimizing bias and weight parameters.
Determining the significance and relative importance of parameters of a simulated quenching algorithm using statistical tools
When search methods are being designed it is very important to know which parameters have the greatest influence on the behaviour and performance of the algorithm.
Asynchronous Distributed Genetic Algorithms with Javascript and JSON
In a connected world, spare CPU cycles are up for grabs, if you only make its obtention easy enough.
Evolvable Agents, a Fine Grained Approach for Distributed Evolutionary Computing: Walking towards the Peer-to-Peer Computing Frontiers
In order to check scalability, we perform a threefold experimental evaluation of this model: First, we concentrate on the algorithmic results when the problem scales up to eight nodes in comparison with how it does following the Island model.
NodIO, a JavaScript framework for volunteer-based evolutionary algorithms : first results
We present such an application for running distributed volunteer-based evolutionary algorithm experiments, and we make a series of measurements to establish the speed of JavaScript in evolutionary algorithms that can serve as a baseline for comparison with other distributed computing experiments.
