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}
}
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