Multifactorial evolutionary algorithm with online transfer parameter estimation : MFEA-II
Humans rarely tackle every problem from scratch. Given this observation, the motivation for this paper is to improve optimization performance through adaptive knowledge transfer across related problems. The scope for spontaneous transfers under the simultaneous occurrence of multiple problems unveil...
Saved in:
Main Authors: | Bali, Kavitesh Kumar, Ong, Yew-Soon, Gupta, Abhishek, Tan, Puay Siew |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/143194 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Cognizant multitasking in multiobjective multifactorial evolution : MO-MFEA-II
by: Bali, Kavitesh Kumar, et al.
Published: (2021) -
Multifactorial evolution : toward evolutionary multitasking
by: Gupta, Abhishek, et al.
Published: (2021) -
Multiobjective multifactorial optimization in evolutionary multitasking
by: Gupta, Abhishek, et al.
Published: (2021) -
Evolutionary multitasking : a computer science view of cognitive multitasking
by: Ong, Yew-Soon, et al.
Published: (2021) -
Evolutionary multi-task learning for modular knowledge representation in neural networks
by: Chandra, Rohitash, et al.
Published: (2020)