Testing Multiple Strategy Human Optimization based Artificial Human Optimization Algorithms
Journal Title: Computer Reviews Journal - Year 2018, Vol 1, Issue 2
Abstract
Recently a new trend titled ‘Artificial Human Optimization’ has become popular in Evolutionary Computing Domain. More than 30 papers were published in this new field proposed in December 2016. ‘Hassan Satish Particle Swarm Optimization (HSPSO)’ and ‘Human Inspired Differential Evolution (HIDE)’ are the two latest Artificial Human Optimization algorithms proposed based on Multiple Strategy Human Optimization. In this paper we focus on Testing HSPSO and HIDE by applying these latest algorithms on Ackley, Bohachevsky, Booth, Three-Hump Camel and Beale benchmark functions. Results obtained for these Artificial Human Optimization Algorithms are compared with Differential Evolution and Particle Swarm Optimization.
Authors and Affiliations
Satish Gajawada, Hassan M. H. Mustafa
Keywords
Related Articles
- EP ID EP655262
- DOI -
- Views 152
- Downloads 0
Geographic Information Systems: A Survey
At its core GIS or Geographical Information System, is a mapping tool that allows various types of information to be linked to geolocation. With advances in Big Data technologies, the availability of a large and ever-inc...
An Ensemble Model of Machine Learning Algorithms for the Severity of Sickle Cell Disease (Scd) Among Paediatrics Patients
This study was motivated at developing an ensemble of 3 supervised machine learning algorithms for the assessment of the severity of sickle cell disease (SCD) among paediatric patients. The study collected data from a te...
Comparative Analysis of Prognostic Model for Risk Classification of Neonatal Jaundice using Machine Learning Algorithms
This study focused on the development of a prediction model using identified classification factors in order to classify the risk of jaundice in selected neonates. Historical dataset on the distribution of the classifica...
An Infusion Model for The Adoption of Social Media in Nigerian Tertiary Institution
This study aims to understand the trend of social media adoption among youths especially undergraduates of Nigerian tertiary institutions. This study used a questionnaire for identifying the various social media platform...
ARMED for the Mobile Processing War
This article offers an explanation for why the ARM computer architecture won the hearts and minds of the mobile device manufacturers when incumbents like Intel and AMD had such a huge head start and such a large economic...