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Parallel Variable Population Multi-Objective Optimizer (pvpmoo) v1.0

Software ·
DOI:https://doi.org/10.11578/dc.20240624.2· OSTI ID:code-132940 · Code ID:132940
 [1]
  1. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
+ Show Developer Affiliations
This is a parallel variable population multi-objective optimizer with an adaptive unified differential evolution algorithm or a genetic algorithm. It can also be used for single objective optimization. Some features of this code include: 1) The population size varies from generation to generation to save the total # of objective function evaluations. 2) The population is uniformly distributed to a number of parallel processors for simultaneous objective function evaluation. 3) The objective function evaluation can be attained from an external simulation program with control variables in its input file and objectives calculated from its output files. 4) The optimizer includes an adaptive unified differential evolution algorithm and a real value genetic algorithm. The parameters in the unified differential evolution algorithm can be chosen to attain any mutation schemes in the published literature.
Short Name / Acronym:
pvpmoo v1.0
Site Accession Number:
2024-040
Software Type:
Scientific
License(s):
BSD 3-clause "New" or "Revised" License
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE
Primary Award/Contract Number:
AC02-05CH11231
DOE Contract Number:
AC02-05CH11231
Code ID:
132940
OSTI ID:
code-132940
Country of Origin:
United States

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