A Dynamic Multi-objective Optimization Algorithm for Black-Box Optimization in Dynamic Irregular Environment

This paper proposes a novel initial population prediction algorithm (IPPA) for solving irregular black-box dynamic multi-objective optimization problems. In the phase of environmental change detection, IPPA find representative solutions based on a clustering algorithm and form environment vector to...

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Bibliographic Details

Main Authors:	Sanyi Li, Shuang Liu, Wenjie Hou, Yuanyuan Zhang
Format:	Artigo
Language:	Inglês
Published:	University of Zagreb Faculty of Electrical Engineering and Computing 2026-01-01
Series:	Journal of Computing and Information Technology
Subjects:	dynamic multi-objective optimization pareto Set, neural network prediction irregular environment
Online Access:	https://hrcak.srce.hr/file/500193
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