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Evolutionary algorithm
Known as:
EA (disambiguation)
, Artificial evolution
, AE
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In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic…
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Related topics
Related topics
50 relations
Agent-based model
Artificial bee colony algorithm
Avida
Bio-inspired computing
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
Comparing parameter tuning methods for evolutionary algorithms
S. Smit
,
A. Eiben
IEEE Congress on Evolutionary Computation
2009
Corpus ID: 12280431
Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance…
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Highly Cited
2006
Highly Cited
2006
Reference point based multi-objective optimization using evolutionary algorithms
K. Deb
,
J. Sundar
,
Udaya Bhaskara
,
Rao N
,
S. Chaudhuri
Annual Conference on Genetic and Evolutionary…
2006
Corpus ID: 6802382
Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto…
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Highly Cited
2006
Highly Cited
2006
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
I. Hatzakis
,
D. Wallace
Annual Conference on Genetic and Evolutionary…
2006
Corpus ID: 5538678
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms…
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Highly Cited
2003
Highly Cited
2003
Performance Scaling of Multi-objective Evolutionary Algorithms
V. Khare
,
X. Yao
,
K. Deb
International Conference on Evolutionary Multi…
2003
Corpus ID: 41996838
MOEAs are getting immense popularity in the recent past, mainly because of their ability to find a wide spread of Pareto-optimal…
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Highly Cited
2003
Highly Cited
2003
Chaotic sequences to improve the performance of evolutionary algorithms
R. Caponetto
,
L. Fortuna
,
S. Fazzino
,
M. Xibilia
IEEE Transactions on Evolutionary Computation
2003
Corpus ID: 5848776
This paper proposes an experimental analysis on the convergence of evolutionary algorithms (EAs). The effect of introducing…
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Highly Cited
2001
Highly Cited
2001
On self-adaptive features in real-parameter evolutionary algorithms
H. Beyer
,
K. Deb
IEEE Transactions on Evolutionary Computation
2001
Corpus ID: 15993800
Due to the flexibility in adapting to different fitness landscapes, self-adaptive evolutionary algorithms (SA-EAs) have been…
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Review
2001
Review
2001
Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons
K. Tan
,
Tong-heng Lee
,
E. F. Khor
Proceedings of the Congress on Evolutionary…
2001
Corpus ID: 12468500
Evolutionary techniques for multi-objective(MO) optimization are currently gainingsignificant attention from researchers…
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Highly Cited
1999
Highly Cited
1999
Multiobjective evolutionary algorithm test suites
D. V. Veldhuizen
,
G. Lamont
ACM Symposium on Applied Computing
1999
Corpus ID: 17174797
Multiobjective Evolutionary Algorithms (MOEAs) currently have no generic benchmark test suites. This paper provides several…
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Highly Cited
1997
Highly Cited
1997
Femtosecond pulse shaping by an evolutionary algorithm with feedback
T. Baumert
,
T. Brixner
,
V. Seyfried
,
M. Strehle
,
G. Gerber
1997
Corpus ID: 54073258
We report on computer controlled compression of femtosecond laser pulses using a programmable liquid crys- tal spatial light…
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Highly Cited
1994
Highly Cited
1994
Genetic and evolutionary algorithms come of age
D. Goldberg
CACM
1994
Corpus ID: 8046325
Before there were computers, there was thinking about the mind as a computer-as a machine. And in this way, computer science and…
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