Skip to content

PVPmoo: A parallel variable population multi-objective optimizer

License

Notifications You must be signed in to change notification settings

qianglbl/PVPmoo

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 

Repository files navigation

PVPmoo: A Parallel Variable Population Multi-Objective Optimizer


*** Copyright Notice ***

Parallel Variable Population Multi-Objective Optimizer (pvpmoo) Copyright (c) 2024, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.

If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at [email protected].

NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.


Contact: Ji Qiang ([email protected]) of the Lawrence Berkeley National Lab.

.........................................................................

Some features include:

  1. The population size varies from generation to generation.

  2. The population is uniformly distributed to a number of parallel processors

  3. The objective functions are attained from the ouptputs of an external serial program.

Citation: J. Qiang, "A parallel variable population multi-objective optimizer for accelerator beam dynamics optimization," Nuclear Inst. and Methods in Physics Research, A 1054 (2023) 168402.

The optimization input parameters are in pvpmoo.in. The objective function file "objfunc.f90" should be modified according to user's application program.

The outputs are obj.out (objective function values) and pop.out (control parameter values).

..........................................................................

About

PVPmoo: A parallel variable population multi-objective optimizer

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published