Cutello, Vincenzo and Nicosia, Giuseppe and Pavone, Mario and Stracquadanio, Giovanni (2010) Entropic divergence for population based optimization algorithms. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.
Cutello, Vincenzo and Nicosia, Giuseppe and Pavone, Mario and Stracquadanio, Giovanni (2010) Entropic divergence for population based optimization algorithms. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.
Cutello, Vincenzo and Nicosia, Giuseppe and Pavone, Mario and Stracquadanio, Giovanni (2010) Entropic divergence for population based optimization algorithms. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.
Abstract
The concept of information gain has been adopted as tool to study the effectiveness of population-based optimizers; using this approach, it is possible to infer convergence properties for population-based optimizers. The experimental results have shown characteristic phase transition between exploration and exploitation phase during the evolutionary process and, moreover, the evidence that gain maximization offers a robust theoretical framework to study the convergence of stochastic optimizers. © 2010 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Published proceedings: 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 13 Feb 2017 14:09 |
| Last Modified: | 05 Dec 2024 21:40 |
| URI: | http://repository.essex.ac.uk/id/eprint/18711 |