MOEMT-RPA: Reference Point-Assisted Explicit Multi-Objective Evolutionary Multi-Task Algorithm
Author:
Affiliation:
1. School of Electronic and Information Engineering, Tongji University,Shanghai,China,201804
2. Wenzhou Polytechnic,Zhejiang,China,325000
3. Sino-German College of Applied Sciences, Tongji University,Shanghai,China,200092
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Shanghai Municipal Science and Technology Major Project
Natural Science Foundation of Shanghai
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10294323/10294356/10294887.pdf?arnumber=10294887
Reference36 articles.
1. A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking
2. The balance between proximity and diversity in multiobjective evolutionary algorithms
3. Multifactorial optimization via explicit multipopulation evolutionary framework
4. Multiobjective Multifactorial Optimization in Evolutionary Multitasking
5. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
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