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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… 
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Papers overview

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Highly Cited
2012
Highly Cited
2012
DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. Its design departs from most other… 
Highly Cited
2007
Highly Cited
2007
Decomposition is a basic strategy in traditional multiobjective optimization. However, it has not yet been widely used in… 
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… 
Highly Cited
2001
Highly Cited
2001
  • 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… 
Highly Cited
2001
Highly Cited
2001
The Strength Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) is a relatively recent technique for finding or… 
Review
1999
Review
1999
The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising… 
Highly Cited
1999
Highly Cited
1999
Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often conflicting objectives… 
Highly Cited
1998
Highly Cited
1998
Since 1985 various evolutionary approaches to multiobjective optimization have been developed, capable of searching for multiple… 
Highly Cited
1996
Highly Cited
1996
Introduction PART I: A COMPARISON OF EVOLUTIONARY ALGORITHMS 1. Organic Evolution and Problem Solving 2. Specific Evolutionary… 
Review
1996
Review
1996
Evolutionary computation techniques have received a great deal of attention regarding their potential as optimization techniques…