Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems

Abstract In the field of expensive optimization, numerous papers have proposed surrogate-assisted evolutionary algorithms (SAEAs) for a few thousand or even hundreds of function evaluations. However, in reality, low-cost simulations suffice for a lot of real-world problems, in which the number of fu...

Full description

Bibliographic Details

Published in:	Complex & Intelligent Systems
Main Authors:	Kei Nishihara, Masaya Nakata
Format:	Article
Language:	English
Published:	Springer 2024-02-01
Subjects:	Adaptation Differential evolution Multi-population Expensive optimization problem
Online Access:	https://doi.org/10.1007/s40747-023-01340-9