Consensus based optimization
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Consensus based optimization (CBO) [1] is a method to obtain solutions for global optimization problems of the form where denotes the objective function acting on the state space . The algorithm is based on particles exploring the state space, while communicating with each other to update their positions. In this sense, CBO is comparable to wind driven optimization[2], particle swarm optimization or Simulated annealing. However, compared to other heuristics, CBO was designed to have a well-posed mean-field limit
Convergence
Variants
Polarization
See also
References
- ^ Pinnau, René; Totzeck, Claudia; Tse, Oliver; Martin, Stephan (2017-01). "A consensus-based model for global optimization and its mean-field limit". Mathematical Models and Methods in Applied Sciences. 27 (01): 183–204. doi:10.1142/S0218202517400061. ISSN 0218-2025.
{{cite journal}}: Check date values in:|date=(help) - ^ "The Wind Driven Optimization Technique and its Application in Electromagnetics | IEEE Journals & Magazine | IEEE Xplore". ieeexplore.ieee.org. Retrieved 2024-02-03.