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Issues

Volume 24, Issue 3
Fall 2016
Issue Cover
All Issues
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.
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.
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.
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.
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.
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.
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.
View articletitled, Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning
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