Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems
Tyler Chang, Layne T. Watson
Abstract
VTMOP is a Fortran 2008 software package containing two Fortran modules for solving computationally expensive bound-constrained blackbox multiobjective optimization problems. VTMOP implements the algorithm of [32], which handles two or more objectives, does not require any derivatives, and produces well-distributed points over the Pareto front. The first module contains a general framework for solving multiobjective optimization problems by combining response surface methodology, trust region methodology, and an adaptive weighting scheme. The second module features a driver subroutine that implements this framework when the objective functions can be wrapped as a Fortran subroutine. Support is provided for both serial and parallel execution paradigms, and VTMOP is demonstrated on several test problems as well as one real-world problem in the area of particle accelerator optimization.
People
-
Bio Item
-
Bio Item
Publication Details
Date of publication: September 09, 2022
Journal: ACM Transactions on Mathematical Software
Page number(s): 1-34
Volume: 48
Issue Number: 3
Publication Note: Tyler H. Chang, Layne T. Watson, Jeffrey Larson, Nicole Neveu, William I. Thacker, Shubhangi G. Deshpande, Thomas C. H. Lux: Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems. ACM Trans. Math. Softw. 48(3): 36:1-36:34 (2022)