Lecture Notes in Computer Science - Learning and Intelligent Optimization
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Published By Springer International Publishing

9783030053475, 9783030053482

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Scheduling Deteriorating Jobs and Module Changes with Incompatible Job Families on Parallel Machines Using a Hybrid SADE-AFSA Algorithm

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_40 ◽

2018 ◽

pp. 455-472

Author(s):

Yuwei Sun ◽

Xiaofei Qian ◽

Siwen Liu

Keyword(s):

Parallel Machines ◽

Deteriorating Jobs

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Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_9 ◽

2018 ◽

pp. 98-114

Author(s):

Teck-Hou Teng ◽

Hoong Chuin Lau ◽

Aldy Gunawan

Keyword(s):

Neural Networks ◽

Combinatorial Optimisation ◽

Selection Of

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Calibration of a Water Distribution Network with Limited Field Measures: The Case Study of Castellammare di Stabia (Naples, Italy)

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_36 ◽

2018 ◽

pp. 433-436 ◽

Cited By ~ 1

Author(s):

Armado Di Nardo ◽

Michele Di Natale ◽

Anna Di Mauro ◽

Giovanni Francesco Santonastaso ◽

Andrea Palomba ◽

...

Keyword(s):

Water Distribution ◽

Distribution Network ◽

Water Distribution Network

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Constant Factor Approximation for Intersecting Line Segments with Disks

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_39 ◽

2018 ◽

pp. 447-454 ◽

Cited By ~ 2

Author(s):

Konstantin Kobylkin

Keyword(s):

Constant Factor ◽

Line Segments

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A Cooperative Learning Approach for the Quadratic Knapsack Problem

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_3 ◽

2018 ◽

pp. 31-35

Author(s):

Eduardo Lalla-Ruiz ◽

Eduardo Segredo ◽

Stefan Voß

Keyword(s):

Cooperative Learning ◽

Knapsack Problem ◽

Learning Approach ◽

Quadratic Knapsack Problem ◽

Quadratic Knapsack

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CAVE: Configuration Assessment, Visualization and Evaluation

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_10 ◽

2018 ◽

pp. 115-130 ◽

Cited By ~ 1

Author(s):

André Biedenkapp ◽

Joshua Marben ◽

Marius Lindauer ◽

Frank Hutter

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Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_35 ◽

2018 ◽

pp. 427-432

Author(s):

Artem Baklanov ◽

Michael Khachay ◽

Maxim Pasynkov

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Oil Palm ◽

Fully Convolutional Neural Networks

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Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_20 ◽

2018 ◽

pp. 220-224

Author(s):

Daniel Karapetyan ◽

Andrew J. Parkes ◽

Thomas Stützle

Keyword(s):

Algorithm Configuration ◽

Learning Policies

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Learning the Quality of Dispatch Heuristics Generated by Automated Programming

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_13 ◽

2018 ◽

pp. 154-158

Author(s):

Andrew J. Parkes ◽

Neema Beglou ◽

Ender Özcan

Keyword(s):

Automated Programming

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Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-05348-2_17 ◽

2018 ◽

pp. 184-198 ◽

Cited By ~ 1

Author(s):

Jakob Bossek ◽

Christian Grimme

Keyword(s):

Evolutionary Algorithms ◽

Shortest Path ◽

Shortest Path Problems

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Lecture Notes in Computer Science - Learning and Intelligent OptimizationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Scheduling Deteriorating Jobs and Module Changes with Incompatible Job Families on Parallel Machines Using a Hybrid SADE-AFSA Algorithm

Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks

Calibration of a Water Distribution Network with Limited Field Measures: The Case Study of Castellammare di Stabia (Naples, Italy)

Constant Factor Approximation for Intersecting Line Segments with Disks

A Cooperative Learning Approach for the Quadratic Knapsack Problem

CAVE: Configuration Assessment, Visualization and Evaluation

Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan

Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers

Learning the Quality of Dispatch Heuristics Generated by Automated Programming

Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems

Lecture Notes in Computer Science - Learning and Intelligent Optimization
Latest Publications