Revisiting norm optimization for multi-objective black-box problems: a finite-time analysis
Abstract The complexity of Pareto fronts imposes a great challenge on the convergence analysis of multi-objective optimization methods. While most theoretical convergence studies have addressed finite-set and/or discrete problems, others have provided probabilistic guarantees, assumed...
Main Authors: | Al-Dujaili, Abdullah, Suresh, S. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Springer US
2021
|
Online Access: | https://hdl.handle.net/1721.1/131494 |
Similar Items
-
Revisiting norm optimization for multi-objective black-box problems : a finite-time analysis
by: Al-Dujaili, Abdullah, et al.
Published: (2020) -
Multi-scale search for black-box optimization : theory & algorithms
by: Abdullah Shamil Hashim Al-Dujaili
Published: (2017) -
Multi-fidelity black-box optimization for time-optimal quadrotor maneuvers
by: Ryou, Gilhyun, et al.
Published: (2022) -
Revisiting the minimum-norm problem
by: Soledad Moreno-Pulido, et al.
Published: (2022-02-01) -
A Kriging-Assisted Multi-Objective Constrained Global Optimization Method for Expensive Black-Box Functions
by: Yaohui Li, et al.
Published: (2021-01-01)