Memory-Based Evolutionary Algorithms for Nonlinear and Stochastic Programming Problems

Memory-Based Evolutionary Algorithms for Nonlinear and Stochastic Programming Problems

In this paper, we target the problems of finding a global minimum of nonlinear and stochastic programming problems. To solve this type of problem, we propose new approaches based on combining direct search methods with Evolution Strategies (ESs) and Scatter Search (SS) metaheuristics approaches. Fir...

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Bibliographic Details
Main Authors: Abdel-Rahman Hedar, Amira A. Allam, Wael Deabes
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Mathematics
Subjects:
global optimization
stochastic programming
simulation-based optimization
evolution strategies
scatter search
variable-sample techniques
Online Access:https://www.mdpi.com/2227-7390/7/11/1126

Internet

https://www.mdpi.com/2227-7390/7/11/1126

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