Advertisement
Published in:
2016 | OriginalPaper | Chapter
6. Conclusions
Authors : Micael Couceiro, Pedram Ghamisi
Published in: Fractional Order Darwinian Particle Swarm Optimization
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
Narrowing down all that was previously presented to a sentence, the focus of this short book was the bottom-up applicability of swarm intelligence to solve multiple different problems, such as typical curve fitting, the relevant image segmentation process, and even the more technologically oriented swarm robotics. This final chapter summarizes the research covered around a novel PSO-based algorithm, denoted fractional-order Darwinian particle swarm optimization (FODPSO). After discussing the presented contributions, and considering their advantages and limitations, it points out perspectives on future research.