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Volume 24, Issue 3

Fall 2016

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ISSN 1063-6560

EISSN 1530-9304

In this Issue

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results

Fernando E. B. Otero, Alex A. Freitas

Evolutionary Computation (2016) 24 (3): 385–409.

Abstract

View articletitled, Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results

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Hypervolume Subset Selection in Two Dimensions: Formulations and Algorithms

Tobias Kuhn, Carlos M. Fonseca, Luís Paquete, Stefan Ruzika, Miguel M. Duarte ...

Evolutionary Computation (2016) 24 (3): 411–425.

Abstract

View articletitled, Hypervolume Subset Selection in Two Dimensions: Formulations and Algorithms

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Statistical Mechanics Approximation of Biogeography-Based Optimization

Haiping Ma, Dan Simon, Minrui Fei

Evolutionary Computation (2016) 24 (3): 427–458.

Abstract

View articletitled, Statistical Mechanics Approximation of Biogeography-Based Optimization

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Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution

Jacob Schrum, Risto Miikkulainen

Evolutionary Computation (2016) 24 (3): 459–490.

Abstract

View articletitled, Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution

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Gray Box Optimization for Mk Landscapes (NK Landscapes and MAX-kSAT)

L. Darrell Whitley, Francisco Chicano, Brian W. Goldman

Evolutionary Computation (2016) 24 (3): 491–519.

Abstract

View articletitled, Gray Box Optimization for Mk Landscapes (NK Landscapes and MAX-kSAT)

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Greedy Hypervolume Subset Selection in Low Dimensions

Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete

Evolutionary Computation (2016) 24 (3): 521–544.

Abstract

View articletitled, Greedy Hypervolume Subset Selection in Low Dimensions

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Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning

A. Nguyen, J. Yosinski, J. Clune

Evolutionary Computation (2016) 24 (3): 545–572.

Abstract

View articletitled, Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results

Hypervolume Subset Selection in Two Dimensions: Formulations and Algorithms

Statistical Mechanics Approximation of Biogeography-Based Optimization

Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution

Gray Box Optimization for Mk Landscapes (NK Landscapes and MAX-kSAT)

Greedy Hypervolume Subset Selection in Low Dimensions

Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning

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Issues

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results

Hypervolume Subset Selection in Two Dimensions: Formulations and Algorithms

Statistical Mechanics Approximation of Biogeography-Based Optimization

Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution

Gray Box Optimization for Mk Landscapes (NK Landscapes and MAX-kSAT)

Greedy Hypervolume Subset Selection in Low Dimensions

Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning

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MIT Press Direct

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