On the Use of Compact Approaches in Evolution Strategies
<p>Compact evolutionary algorithms have proven to be an efficient alternative for solving optimization problems in computing environments with low processing power. In this kind of solution, a probability distribution simulates the behavior of a population, thus looking for memory savings. Sev...
Main Authors: | Anderson SERGIO, Sidartha CARVALHO, Marco REGO |
---|---|
Format: | Article |
Language: | English |
Published: |
Ediciones Universidad de Salamanca
2014-12-01
|
Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
Subjects: | |
Online Access: | https://revistas.usal.es/index.php/2255-2863/article/view/13183 |
Similar Items
-
A GPU-Enabled Compact Genetic Algorithm for Very Large-Scale Optimization Problems
by: Andrea Ferigo, et al.
Published: (2020-05-01) -
Matching biomedical ontologies through compact differential evolution algorithm
by: Xingsi Xue, et al.
Published: (2019-11-01) -
An Evolutionary Approach to Compact DAG Neural Network Optimization
by: Carter Chiu, et al.
Published: (2019-01-01) -
Differential evolution with biological-based mutation operator
by: Shashi Prabha, et al.
Published: (2020-04-01) -
Differential evolution using homeostasis adaption based mutation operator and its application for software cost estimation
by: Shailendra Pratap Singh, et al.
Published: (2021-07-01)