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Volume 20, Issue 1

Spring 2012

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ISSN 1063-6560

EISSN 1530-9304

In this Issue

Regular Papers

Regular Papers

Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting

Kent McClymont, Ed Keedwell

Evolutionary Computation (2012) 20 (1): 1–26.

Abstract

View articletitled, Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting

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Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm

Kalyanmoy Deb, Amit Saha

Evolutionary Computation (2012) 20 (1): 27–62.

Abstract

View articletitled, Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm

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Automating the Packing Heuristic Design Process with Genetic Programming

Edmund K. Burke, Matthew R. Hyde, Graham Kendall, John Woodward

Evolutionary Computation (2012) 20 (1): 63–89.

Abstract

View articletitled, Automating the Packing Heuristic Design Process with Genetic Programming

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Encouraging Behavioral Diversity in Evolutionary Robotics: An Empirical Study

J.-B. Mouret, S. Doncieux

Evolutionary Computation (2012) 20 (1): 91–133.

Abstract

View articletitled, Encouraging Behavioral Diversity in Evolutionary Robotics: An Empirical Study

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Using Previous Models to Bias Structural Learning in the Hierarchical BOA

M. W. Hauschild, M. Pelikan, K. Sastry, D. E. Goldberg

Evolutionary Computation (2012) 20 (1): 135–160.

Abstract

View articletitled, Using Previous Models to Bias Structural Learning in the Hierarchical BOA

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Regular Papers

Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting

Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm

Automating the Packing Heuristic Design Process with Genetic Programming

Encouraging Behavioral Diversity in Evolutionary Robotics: An Empirical Study

Using Previous Models to Bias Structural Learning in the Hierarchical BOA

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RSS Feeds

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Issues

Regular Papers

Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting

Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm

Automating the Packing Heuristic Design Process with Genetic Programming

Encouraging Behavioral Diversity in Evolutionary Robotics: An Empirical Study

Using Previous Models to Bias Structural Learning in the Hierarchical BOA

Product(s) added to cart

Email alerts

RSS Feeds

A product of The MIT Press

MIT Press Direct

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MIT Press

Contact Us

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