Moderately Computationally Expensive Optimization

Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems
This paper presents a fast and auto-tunable evolutionary algorithm for solving moderately restricted expensive optimization problems. The presented algorithm is a variant of adaptive differential evolution (DE) algorithms, and is called emulation-based adaptive DE or EBADE.
Kei Nishihara, Masaya Nakata
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Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems
Our paper has been accepted to CAIS
Our paper on an adaptive evolutionary algorithm has been accepted to Complex & Intelligent Systems journal.
Kei Nishihara
Last updated on Feb 18, 2024 1 min read Research
Our paper has been accepted to CAIS