Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems

• Published in: IEEE transactions on cybernetics Vol. PP; no. 7; pp. 1 - 15
• Main Authors: Xue, Xiaoming, Zhang, Kai, Tan, Kay Chen, Feng, Liang, Wang, Jian, Chen, Guodong, Zhao, Xinggang, Zhang, Liming, Yao, Jun
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Affine transformation; Affine transformations; Algorithms; domain adaptation; Evolutionary computation; evolutionary multitasking (EMT); Exact solutions; heterogeneous problems; Knowledge management; Knowledge transfer; Mapping; multifactorial optimization (MFO); Multitasking; Optimization; Petroleum; Sociology; Statistics; Task analysis

Evolutionary multitasking (EMT) is a newly emerging research topic in the community of evolutionary computation, which aims to improve the convergence characteristic across multiple distinct optimization tasks simultaneously by triggering knowledge transfer among them. Unfortunately, most of the exi...