Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 8
Abstract
In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. Four different benchmark functions of Sphere, Rosenbrock, Rastrigin, and Griewank with asymmetric initial range settings (upper and lower boundaries values) were selected as the test functions. The experimental results showed that, the Se-PSO algorithm achieved better results in terms of faster convergences in all the testing cases compared to the original PSO algorithm. However, the experimental results further showed the Se-PSO as a promising optimization algorithm method in some other different fields.
Authors and Affiliations
Mohammed Adam Kunna Azrag, Tuty Asmawaty Abdul Kadir
Keywords
Related Articles
- EP ID EP626809
- DOI 10.14569/IJACSA.2019.0100862
- Views 55
- Downloads 0
A Comprehensive Evaluation of Cue-Words based Features and In-text Citations based Features for Citation Classification
Citation plays a vital role in the scientific community of evaluating the contributions of scientific authors. Citing sources delivers a measurable way of evaluating the impact factor of journals and authors and allows for...
Optimized Order of Software Testing Techniques in Agile Process – A Systematic Approach
The designing, development of a software product needs lot of efforts whereas software testing is also a very challenging task but it is equally mandatory activity in order to ensure the quality of the product before shi...
Towards a Conceptual Model to Evaluate usability of Digital Government Services in Malaysia
The Malaysian government is committed to provide comprehensive digital government services and it is reflected in some policies and strategic plans such as 11th Malaysia Plan 2016-2020 (RMKe-11) for digital government tr...
Designing and Building a Framework for DNA Sequence Alignment Using Grid Computing
Deoxyribonucleic acid (DNA) is a molecule that encodes unique genetic instructions used in the development and functioning of all known living organisms and many viruses. This Genetic information is encoded as a sequence...
Extending Unified Modeling Language to Support Aspect-Oriented Software Development
Aspect-Oriented Software Development (AOSD) is continuously gaining more importance as the complexity of software systems increases and requirement changes are high- rated. A smart way for making reuse of functionality w...