Lecture Notes in Computer Science - Learning and Intelligent Optimization
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35

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4

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Published By Springer International Publishing

9783319694030, 9783319694047

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A GRASP for the Minimum Cost SAT Problem

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_5 ◽

2017 ◽

pp. 64-78

Author(s):

Giovanni Felici ◽

Daniele Ferone ◽

Paola Festa ◽

Antonio Napoletano ◽

Tommaso Pastore

Keyword(s):

Minimum Cost ◽

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Global Optimization Challenges in Structured Low Rank Approximation

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_26 ◽

2017 ◽

pp. 326-330

Author(s):

Jonathan Gillard ◽

Anatoly Zhigljavsky

Keyword(s):

Global Optimization ◽

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation ◽

Structured Low Rank Approximation

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Interior Point and Newton Methods in Solving High Dimensional Flow Distribution Problems for Pipe Networks

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_10 ◽

2017 ◽

pp. 139-149

Author(s):

Oleg O. Khamisov ◽

Valery A. Stennikov

Keyword(s):

Interior Point ◽

Flow Distribution ◽

High Dimensional ◽

Newton Methods ◽

Dimensional Flow ◽

Pipe Networks ◽

Distribution Problems

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Comparing Two Approaches for Solving Constrained Global Optimization Problems

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_22 ◽

2017 ◽

pp. 301-306

Author(s):

Konstantin Barkalov ◽

Ilya Lebedev

Keyword(s):

Global Optimization ◽

Optimization Problems ◽

Constrained Global Optimization

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Efficient Adaptive Implementation of the Serial Schedule Generation Scheme Using Preprocessing and Bloom Filters

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_9 ◽

2017 ◽

pp. 124-138

Author(s):

Daniel Karapetyan ◽

Alexei Vernitski

Keyword(s):

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Learning a Reactive Restart Strategy to Improve Stochastic Search

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_8 ◽

2017 ◽

pp. 109-123 ◽

Author(s):

Serdar Kadioglu ◽

Meinolf Sellmann ◽

Markus Wagner

Keyword(s):

Stochastic Search ◽

Restart Strategy

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Solution of the Convergecast Scheduling Problem on a Square Unit Grid When the Transmission Range is 2

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_4 ◽

2017 ◽

pp. 50-63 ◽

Author(s):

Adil Erzin

Keyword(s):

Transmission Range ◽

Scheduling Problem

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An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_1 ◽

2017 ◽

pp. 3-17 ◽

Author(s):

Steven Adriaensen ◽

Filip Moons ◽

Ann Nowé

Keyword(s):

Importance Sampling ◽

Algorithm Design ◽

Algorithm Performance ◽

Automated Algorithm ◽

Sampling Approach

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An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_7 ◽

2017 ◽

pp. 93-108 ◽

Author(s):

Angeliki Gretsista ◽

Edmund K. Burke

Keyword(s):

Local Search ◽

Iterated Local Search ◽

Nurse Rostering ◽

Adaptive Operator Selection ◽

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Accelerating Gradient Descent with Projective Response Surface Methodology

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-69404-7_34 ◽

2017 ◽

pp. 376-382 ◽

Author(s):

Alexander Senov

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Gradient Descent

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