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MonographDOI

Evolutionary Computation 2

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The article was published on 2000-01-01. It has received 612 citations till now. The article focuses on the topics: Human-based evolutionary computation & Interactive evolutionary computation.

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Citations
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SPEA2: Improving the strength pareto evolutionary algorithm

TL;DR: An improved version of SPEA, namely SPEA2, is proposed, which incorporates in contrast to its predecessor a fine-grained fitness assignment strategy, a density estimation technique, and an enhanced archive truncation method.
Journal ArticleDOI

Completely Derandomized Self-Adaptation in Evolution Strategies

TL;DR: This paper puts forward two useful methods for self-adaptation of the mutation distribution - the concepts of derandomization and cumulation and reveals local and global search properties of the evolution strategy with and without covariance matrix adaptation.
Journal ArticleDOI

Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy

TL;DR: The Pareto Archived Evolution Strategy (PAES) as discussed by the authors is a (1 + 1) evolution strategy employing local search but using a reference archive of previously found solutions in order to identify the approximate dominance ranking of the current and candidate solution vectors.
Book

Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications

TL;DR: The basic principles of evolutionary multiobjective optimization are discussed from an algorithm design perspective and the focus is on the major issues such as fitness assignment, diversity preservation, and elitism in general rather than on particular algorithms.
Journal ArticleDOI

Parameter control in evolutionary algorithms

TL;DR: This paper revision the terminology, which is unclear and confusing, thereby providing a classification of such control mechanisms, and surveys various forms of control which have been studied by the evolutionary computation community in recent years.