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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
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
2007
Highly Cited
2007
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Qingfu Zhang
,
Hui Li
IEEE Transactions on Evolutionary Computation
2007
Corpus ID: 7312933
Decomposition is a basic strategy in traditional multiobjective optimization. However, it has not yet been widely used in…
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Review
2007
Review
2007
Parameter Control in Evolutionary Algorithms
A. Eiben
,
Z. Michalewicz
,
Marc Schoenauer
,
J. E. Smith
Parameter Setting in Evolutionary Algorithms
2007
Corpus ID: 2183151
The issue of setting the values of various parameters of an evolutionary algorithm is crucial for good performance. In this paper…
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Highly Cited
2002
Highly Cited
2002
Evolutionary Algorithms for Solving Multi-Objective Problems
C. Coello
,
D. V. Veldhuizen
,
G. Lamont
Genetic Algorithms and Evolutionary Computation
2002
Corpus ID: 36482639
List of Figures. List of Tables. Preface. Foreword. 1. Basic Concepts. 2. Evolutionary Algorithm MOP Approaches. 3. MOEA Test…
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Highly Cited
2001
Highly Cited
2001
Multi-objective optimization using evolutionary algorithms
K. Deb
Wiley-Interscience series in systems and…
2001
Corpus ID: 7131045
From the Publisher: Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real…
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Highly Cited
2001
Highly Cited
2001
SPEA2: Improving the strength pareto evolutionary algorithm
E. Zitzler
,
M. Laumanns
,
L. Thiele
2001
Corpus ID: 16584254
The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) is a relatively recent technique for finding or…
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Highly Cited
1999
Highly Cited
1999
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
E. Zitzler
,
L. Thiele
IEEE Transactions on Evolutionary Computation
1999
Corpus ID: 9634991
Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often conflicting objectives…
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Highly Cited
1998
Highly Cited
1998
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
E. Zitzler
,
L. Thiele
Parallel Problem Solving from Nature
1998
Corpus ID: 10549248
Since 1985 various evolutionary approaches to multiobjective optimization have been developed, capable of searching for multiple…
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Highly Cited
1996
Highly Cited
1996
Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms
Thomas Bäck
1996
Corpus ID: 5152527
Introduction PART I: A COMPARISON OF EVOLUTIONARY ALGORITHMS 1. Organic Evolution and Problem Solving 2. Specific Evolutionary…
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Review
1996
Review
1996
Evolutionary Algorithms for Constrained Parameter Optimization Problems
Z. Michalewicz
,
Marc Schoenauer
Evolutionary Computation
1996
Corpus ID: 6945371
Evolutionary computation techniques have received a great deal of attention regarding their potential as optimization techniques…
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Review
1993
Review
1993
An Overview of Evolutionary Algorithms for Parameter Optimization
Thomas Bäck
,
H. Schwefel
Evolutionary Computation
1993
Corpus ID: 5166635
Three main streams of evolutionary algorithms (EAs), probabilistic optimization algorithms based on the model of natural…
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