Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results

In recent decades, multi-objective evolutionary algorithms (MOEAs) have been evaluated on artificial test problems with unrealistic characteristics, leading to uncertain conclusions about their efficacy in real-world applications. To address this issue, a few benchmark test suites comprising real-wo...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Vikas Palakonda, Jae-Mo Kang, Heechul Jung
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Multi-objective optimization many-objective optimization real-world problems test suite
Online Access:	https://ieeexplore.ieee.org/document/10487952/