A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
Constrained optimization plays an important role in many decision-making problems and various real-world applications. In the last two decades, various evolutionary algorithms (EAs) were developed and still are developing under the umbrella of evolutionary computation. In general, EAs are mainly cat...
Saved in:
Main Authors: | Wali Khan Mashwani, Ruqayya Haider, Samir Brahim Belhaouari |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/5521951 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization
by: Zan Yang, et al.
Published: (2025-01-01) -
THE PROBLEM OF OPTIMIZATION OF EXPENSES OF AN ENTERPRISE IN CRISIS CONDITIONS
by: T. Barsova, et al.
Published: (2016-03-01) -
Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems
by: Gui-Ying Ning, et al.
Published: (2021-01-01) -
A Multi-Surrogate Assisted Multi-Tasking Optimization Algorithm for High-Dimensional Expensive Problems
by: Hongyu Li, et al.
Published: (2024-12-01) -
Postprocessing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems
by: Tatsuhiko Shirai, et al.
Published: (2024-01-01)