Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science
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9783319992587, 9783319992594

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A Simple Proof for the Usefulness of Crossover in Black-Box Optimization

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_3 ◽

2018 ◽

pp. 29-41 ◽

Cited By ~ 6

Author(s):

Eduardo Carvalho Pinto ◽

Carola Doerr

Keyword(s):

Simple Proof ◽

Black Box

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Theoretical Analysis of Lexicase Selection in Multi-objective Optimization

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_13 ◽

2018 ◽

pp. 153-164

Author(s):

Thomas Jansen ◽

Christine Zarges

Keyword(s):

Theoretical Analysis ◽

Multi Objective Optimization ◽

Multi Objective

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Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_4 ◽

2018 ◽

pp. 42-54 ◽

Cited By ~ 1

Author(s):

Timo Kötzing ◽

J. A. Gregor Lagodzinski ◽

Johannes Lengler ◽

Anna Melnichenko

Keyword(s):

Genetic Programming ◽

Parsimony Pressure

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Tutorials at PPSN 2018

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_38 ◽

2018 ◽

pp. 477-489

Author(s):

Gisele Lobo Pappa ◽

Michael T. M. Emmerich ◽

Ana Bazzan ◽

Will Browne ◽

Kalyanmoy Deb ◽

...

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Optimal Neuron Selection and Generalization: NK Ensemble Neural Networks

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_36 ◽

2018 ◽

pp. 449-460

Author(s):

Darrell Whitley ◽

Renato Tinós ◽

Francisco Chicano

Keyword(s):

Neural Networks ◽

Ensemble Neural Networks

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A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_24 ◽

2018 ◽

pp. 296-307 ◽

Cited By ~ 12

Author(s):

Steven J. Daniels ◽

Alma A. M. Rahat ◽

Richard M. Everson ◽

Gavin R. Tabor ◽

Jonathan E. Fieldsend

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Shape Optimisation ◽

Computationally Expensive

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Challenges in High-Dimensional Reinforcement Learning with Evolution Strategies

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_33 ◽

2018 ◽

pp. 411-423

Author(s):

Nils Müller ◽

Tobias Glasmachers

Keyword(s):

Reinforcement Learning ◽

Evolution Strategies ◽

High Dimensional

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Perturbation Strength and the Global Structure of QAP Fitness Landscapes

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_20 ◽

2018 ◽

pp. 245-256 ◽

Cited By ~ 5

Author(s):

Gabriela Ochoa ◽

Sebastian Herrmann

Keyword(s):

Global Structure ◽

Fitness Landscapes

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Runtime Analysis of Evolutionary Algorithms for the Knapsack Problem with Favorably Correlated Weights

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_12 ◽

2018 ◽

pp. 141-152 ◽

Cited By ~ 1

Author(s):

Frank Neumann ◽

Andrew M. Sutton

Keyword(s):

Evolutionary Algorithms ◽

Knapsack Problem ◽

Runtime Analysis

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First-Hitting Times Under Additive Drift

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_8 ◽

2018 ◽

pp. 92-104 ◽

Cited By ~ 1

Author(s):

Timo Kötzing ◽

Martin S. Krejca

Keyword(s):

Hitting Times ◽

First Hitting Times

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Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Simple Proof for the Usefulness of Crossover in Black-Box Optimization

Theoretical Analysis of Lexicase Selection in Multi-objective Optimization

Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming

Tutorials at PPSN 2018

Optimal Neuron Selection and Generalization: NK Ensemble Neural Networks

A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics

Challenges in High-Dimensional Reinforcement Learning with Evolution Strategies

Perturbation Strength and the Global Structure of QAP Fitness Landscapes

Runtime Analysis of Evolutionary Algorithms for the Knapsack Problem with Favorably Correlated Weights

First-Hitting Times Under Additive Drift

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science
Latest Publications