Convergence analysis and performance of an extended central force optimization algorithm
- Dongsheng Ding, Donglian Qi, Xiaoping Luo, Jinfei Chen, Xuejie Wang, Pengying Du
- Applied Mathematics and Computation
- 2012
Highly Influenced
10 Excerpts
Central force optimisation: a new gradient-like metaheuristic for multidimensional search and optimisation
@article{Formato2009CentralFO,
title={Central force optimisation: a new gradient-like metaheuristic for multidimensional search and optimisation},
author={Richard A. Formato},
journal={IJBIC},
year={2009},
volume={1},
pages={217-238}
}- Published 2009 in IJBIC
DOI:10.1504/IJBIC.2009.024721
This paper introduces central force optimisation, a novel, nature-inspired, deterministic search metaheuristic for constrained multidimensional optimisation in highly multimodal, smooth, or discontinuous decision spaces. CFO is based on the metaphor of gravitational kinematics. The algorithm searches a decision space by ‘flying’ its ‘probes’ through the space by analogy to masses moving through physical space under the influence of gravity. Equations are developed for the probes’ positions and… CONTINUE READING
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