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 153
- Downloads 0
Application of Multi Objective Genetic Algorithm for Optimization of Core Configuration Design of a Fast Breeder Reactor
The optimization problem of nuclear fuel management, reported in the present study aimed at arriving at the optimal number of subassemblies in the two fuel enrichment zones of the core of a 500 MWe Fast Breeder Rea...
State of Internet of Things (IoT) Security Attacks, Vulnerabilities and Solutions
Internet of things (IoT) security is the technology area concerned with safeguarding networks and connected devices in the internet of things (IoT). IoT involves adding internet connectivity to a system of mechanical and...
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...
RLS Wiener Fixed-Point Smoother and Filter with Randomly Delayed or Uncertain Observations in Linear Discrete-Time Stochastic Descriptor Systems
The purpose of this paper is to design the recursive least-squares (RLS) Wiener fixed-point smoother and filter in linear discrete-time descriptor systems. The signal process is observed with additional observation noise...
Search Engine Search Engine Search Engine Optimization with Google Search Console
This paper is based on how Google search engine optimization effectively works. And the visibility and quality content of the search engine index page. The keyword feature targeted in this paper is to follow Google quali...