Abstract

Authors propose a simple, but powerful, modification of the Spiral Optimisation Algorithm, which includes stochastic disturbances in its searching trajectories. As a primary study, several tests were carried out implementing proposed and original algorithm to solve different benchmarking problems. Results were compared with some reported in literature. It was noticed the proposed modification enhances the spiral-inspired method in terms of convergence, specifically at high-dimensional optimisation problems.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.