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Title: Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure.

Abstract

Abstract not provided.

Authors:
; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1247110
Report Number(s):
SAND2015-2553C
579868
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the 2015 Genetic and Evolutionary Computation Conference (GECCO '15) held July 11-15, 2015 in Madrid, Spain.
Country of Publication:
United States
Language:
English

Citation Formats

Martin, Matthew, Bertels, Alex, and Tauritz, Daniel. Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure.. United States: N. p., 2015. Web.
Martin, Matthew, Bertels, Alex, & Tauritz, Daniel. Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure.. United States.
Martin, Matthew, Bertels, Alex, and Tauritz, Daniel. Wed . "Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure.". United States. doi:. https://www.osti.gov/servlets/purl/1247110.
@article{osti_1247110,
title = {Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure.},
author = {Martin, Matthew and Bertels, Alex and Tauritz, Daniel},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Apr 01 00:00:00 EDT 2015},
month = {Wed Apr 01 00:00:00 EDT 2015}
}

Conference:
Other availability
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