Work

Adaptive Parameter Tuning of Evolutionary Computation Algorithms

Year: 2025

Type: article

Abstract: Herein, we consider the long-standing problem of adaptive parameter tuning and propose a novel approach, with optimal properties that achieve oracle bounds, to meet the challenges in new important applications in the big-data multi-cloud era.

Source: Statistics in Biosciences

DOI: 10.1007/s12561-025-09500-w

Authors: Kwok Pui Choi, Tze Leung Lai, Xin T. Tong, Ka Wai Tsang, Weng Kee Wong, Hongbao Zhang

Institutions: National University of Singapore, Stanford University, Chinese University of Hong Kong, Shenzhen, University of California, Los Angeles

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,290

Funders: Ministry of Education, Ministry of Education - Singapore, Ministry of Education, India