An overview of evolutionary algorithms is presented
covering genetic algorithms, evolution strategies,
genetic programming and evolutionary programming. The
schema theorem is reviewed and critiqued. Gray codes,
bit representations and real-valued representations are
discussed for parameter optimization problems. Parallel
Island models are also reviewed, and the evaluation of
evolutionary algorithms is discussed.
%0 Journal Article
%1 Whitley:2001:IST
%A Whitley, Darrell
%D 2001
%J Information and Software Technology
%K Automated Evolution Evolutionary Parallel Search, algorithms algorithms, genetic programming, strategies,
%N 14
%P 817--831
%R doi:10.1016/S0950-5849(01)00188-4
%T An overview of evolutionary algorithms: practical
issues and common pitfalls
%U http://www.sciencedirect.com/science/article/B6V0B-44D4196-3/1/f92596f9bf285c4ec4553d4cc40da4a0
%V 43
%X An overview of evolutionary algorithms is presented
covering genetic algorithms, evolution strategies,
genetic programming and evolutionary programming. The
schema theorem is reviewed and critiqued. Gray codes,
bit representations and real-valued representations are
discussed for parameter optimization problems. Parallel
Island models are also reviewed, and the evaluation of
evolutionary algorithms is discussed.
@article{Whitley:2001:IST,
abstract = {An overview of evolutionary algorithms is presented
covering genetic algorithms, evolution strategies,
genetic programming and evolutionary programming. The
schema theorem is reviewed and critiqued. Gray codes,
bit representations and real-valued representations are
discussed for parameter optimization problems. Parallel
Island models are also reviewed, and the evaluation of
evolutionary algorithms is discussed.},
added-at = {2008-06-19T17:46:40.000+0200},
author = {Whitley, Darrell},
biburl = {https://www.bibsonomy.org/bibtex/2262f3b19e29bbe886c326a5b0d5e63bf/brazovayeye},
doi = {doi:10.1016/S0950-5849(01)00188-4},
interhash = {6bdaaa169d69eae443cd92f459be8f31},
intrahash = {262f3b19e29bbe886c326a5b0d5e63bf},
journal = {Information and Software Technology},
keywords = {Automated Evolution Evolutionary Parallel Search, algorithms algorithms, genetic programming, strategies,},
number = 14,
pages = {817--831},
timestamp = {2008-06-19T17:54:10.000+0200},
title = {An overview of evolutionary algorithms: practical
issues and common pitfalls},
url = {http://www.sciencedirect.com/science/article/B6V0B-44D4196-3/1/f92596f9bf285c4ec4553d4cc40da4a0},
volume = 43,
year = 2001
}