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Evolutionary algorithm

Known as: EA (disambiguation), Artificial evolution, AE 
In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic… Expand
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Papers overview

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Highly Cited
2009
Highly Cited
2009
This is a progress report describing my research during the last one and a half year, performed during part A of my Ph.D. study… Expand
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Highly Cited
2007
Highly Cited
2007
  • Qingfu Zhang, H. 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… Expand
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Review
2007
Review
2007
The issue of setting the values of various parameters of an evolutionary algorithm is crucial for good performance. In this paper… Expand
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Highly Cited
2002
Highly Cited
2002
List of Figures. List of Tables. Preface. Foreword. 1. Basic Concepts. 2. Evolutionary Algorithm MOP Approaches. 3. MOEA Test… Expand
Highly Cited
2001
Highly Cited
2001
The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) is a relatively recent technique for finding or… Expand
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Highly Cited
2001
Highly Cited
2001
  • K. Deb
  • Wiley-Interscience series in systems and…
  • 2001
  • Corpus ID: 61111397
From the Publisher: Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real… Expand
Highly Cited
1999
Highly Cited
1999
Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often conflicting objectives… Expand
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Highly Cited
1999
Highly Cited
1999
Multiple, often conflicting objectives arise naturally in most real-world optimization scenarios. As evolutionary algorithms… Expand
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Highly Cited
1996
Highly Cited
1996
Introduction PART I: A COMPARISON OF EVOLUTIONARY ALGORITHMS 1. Organic Evolution and Problem Solving 2. Specific Evolutionary… Expand
Review
1996
Review
1996
Evolutionary computation techniques have received a great deal of attention regarding their potential as optimization techniques… Expand