A Simple Multi-Objective Optimization Based on the Cross-Entropy Method
A simple multi-objective cross-entropy method is presented in this paper, with only four parameters that facilitate the initial setting and tuning of the proposed strategy. The effects of these parameters on improved performance are analyzed on the basis of well-known test suites. The histogram inte...
Main Authors: | Rodolfo E. Haber, Gerardo Beruvides, Ramon Quiza, Alejandro Hernandez |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8070310/ |
Similar Items
-
Multi-Objective Parameter Selection for Classifers
by: Christoph Mussel, et al.
Published: (2012-01-01) -
Entropy Diversity in Multi-Objective Particle Swarm Optimization
by: Eduardo J. Solteiro Pires, et al.
Published: (2013-12-01) -
Multi-Objective Rule System Based Control Model with Tunable Parameters for Swarm Robotic Control in Confined Environment
by: Yuan Wang, et al.
Published: (2024-03-01) -
(Multiscale) Cross-Entropy Methods: A Review
by: Antoine Jamin, et al.
Published: (2019-12-01) -
Multi-Task Transformer with Adaptive Cross-Entropy Loss for Multi-Dialect Speech Recognition
by: Zhengjia Dan, et al.
Published: (2022-10-01)