A New Compound Swarm Intelligence Algorithms for Solving Global Optimization Problems
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 10, Issue 9
Abstract
This paper proposes a new hybrid swarm intelligence algorithm that encompasses the feature of three major swarm algorithms. It combines the fast convergence of the Cuckoo Search (CS), the dynamic root change of the Firefly Algorithm (FA), and the continuous position update of the Particle Swarm Optimization (PSO). The Compound Swarm Intelligence Algorithm (CSIA) will be used to solve a set of standard benchmark functions. The research study compares the performance of CSIA with that of CS, FA, and PSO, using the same set of benchmark functions. The comparison aims to test if the performance of CSIA is Competitive to that of the CS, FA, and PSO algorithms denoting the solution results of the benchmark functions.
Authors and Affiliations
Ibrahim M. Hezam, Osama Abdel Raouf, Mohey M. Hadhoud
Keywords
Related Articles
- EP ID EP650255
- DOI 10.24297/ijct.v10i9.1389
- Views 66
- Downloads 0
The Impact of Social Media on Workplace Culture
Social media has begun long time ago, and recently has immeasurable popularity across the globe. People tended to use this technology in making new friends, keeping up with their own friends, and most significantly sha...
Major Energy Efficient Routing Schemes in Wireless Sensor Networks: Survey and Idea
Sensing the environment without human intervention is carried out with Wireless Sensor Networks. Thus WSNs have gained impetus in every field as applicable to various sensing applications. As the sensor nodes are very mi...
The Fuzzy Control for Rotor Flux Orientation of the double-fed asynchronous generator Drive
In This paper we present a new contribution of fuzzy logic for electrical machine control. We are interested to the control direction of the rotor flux applied to Doubly-Fed Induction Generators (DFIG)At first, the princ...
Fuzzy Weighted Ordered Weighted Average-Gaussian Mixture Model for Feature Reduction
Feature reduction finds the optimal feature subset using machine learning techniques and evaluation criteria. Some of the irrelevant features are existed in the real-world datasets that should be removed by using the mul...
Investigations into Hybrid Magneto-hydrodynamic (MHD) Antenna
Dielectric Resonator Antennas (DRAs) have received lots of attention in the last two decades due to several attractive characteristics such as high radiation efficiency, light weight, and low profile. There is also incre...