Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 226,341,754 papers from all fields of science
Search
Sign In
Create Free Account
Evolution strategy
Known as:
Derandomized Evolution Strategy
, Evolution Strategies
In computer science, an evolution strategy (ES) is an optimization technique based on ideas of adaptation and evolution. It belongs to the general…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
18 relations
CMA-ES
Differential evolution
Evolution window
Evolutionary acquisition of neural topologies
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Morphological instabilities in thin films: Evolution maps
M. A. Zaeem
,
S. Mesarovic
2011
Corpus ID: 56061500
Highly Cited
2010
Highly Cited
2010
A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm
Marina Litvak
,
Mark Last
,
M. Friedman
Annual Meeting of the Association for…
2010
Corpus ID: 12205998
Automated summarization methods can be defined as "language-independent," if they are not based on any language-specific…
Expand
2009
2009
Computational intelligence-based congestion prediction for a dynamic urban street network
D. Srinivasan
,
Chee Wai Chan
,
P. Balaji
Neurocomputing
2009
Corpus ID: 44907251
Highly Cited
2007
Highly Cited
2007
Evolutionary constrained optimization using an addition of ranking method and a percentage-based tolerance value adjustment scheme
Pei Yee Ho
,
K. Shimizu
Information Sciences
2007
Corpus ID: 39102590
Highly Cited
2005
Highly Cited
2005
Development of dynamic cognitive networks as complex systems approximators: validation in financial time series
D. Koulouriotis
,
I. E. Diakoulakis
,
D. Emiris
,
C. Zopounidis
Applied Soft Computing
2005
Corpus ID: 27280942
Highly Cited
2005
Highly Cited
2005
An Immunological Algorithm for Global Numerical Optimization
V. Cutello
,
G. Narzisi
,
Giuseppe Nicosia
,
M. Pavone
Artificial Evolution
2005
Corpus ID: 17425461
Numerical optimization of given objective functions is a crucial task in many real-life problems. The present article introduces…
Expand
Highly Cited
2002
Highly Cited
2002
Reverse evolution of fitness in Drosophila melanogaster
H. Teotónio
,
M. Matos
,
M. Rose
2002
Corpus ID: 11712059
Abstract The evolution of fitness is central to evolutionary theory, yet few experimental systems allow us to track its evolution…
Expand
1996
1996
A brief comparison of some evolutionary optimization methods
A. Keane
1996
Corpus ID: 16274815
The subject of evolutionary computing is a rapidly developing one where many new search methods are being proposed all the time…
Expand
Highly Cited
1995
Highly Cited
1995
Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming
J. McDonnell
,
D. Fogel
,
R. Reynolds
1995
Corpus ID: 62753363
1992
1992
Ergodic theorems for semigroups of operators
W. Ruess
,
W. Summers
1992
Corpus ID: 119093835
We establish ergodic theorems for Eberlein-weakly almost periodic motions and almost-orbits of semigroups of operators. The…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE