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

9783319503486, 9783319503493

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Requests Management for Smartphone-Based Matching Applications Using a Multi-agent Approach

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_12 ◽

2016 ◽

pp. 173-186

Author(s):

Gilles Simonin ◽

Barry O’Sullivan

Keyword(s):

Multi Agent

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The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_11 ◽

2016 ◽

pp. 157-172 ◽

Cited By ~ 4

Author(s):

Zongxu Mu ◽

Holger H. Hoos ◽

Thomas Stützle

Keyword(s):

State Of The Art ◽

Scaling Behaviour ◽

Automated Algorithm ◽

Algorithm Configuration ◽

The Impact

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Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_22 ◽

2016 ◽

pp. 267-273 ◽

Cited By ~ 4

Author(s):

Jakob Richter ◽

Helena Kotthaus ◽

Bernd Bischl ◽

Peter Marwedel ◽

Jörg Rahnenführer ◽

...

Keyword(s):

Model Based ◽

Scheduling Strategies ◽

Resource Aware

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Dynamic Strategy to Diversify Search Using a History Map in Parallel Solving

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_21 ◽

2016 ◽

pp. 260-266

Author(s):

Seongsoo Moon ◽

Mary Inaba

Keyword(s):

Dynamic Strategy

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MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_3 ◽

2016 ◽

pp. 32-47 ◽

Cited By ~ 15

Author(s):

Aymeric Blot ◽

Holger H. Hoos ◽

Laetitia Jourdan ◽

Marie-Éléonore Kessaci-Marmion ◽

Heike Trautmann

Keyword(s):

Multi Objective ◽

Automatic Algorithm Configuration ◽

Algorithm Configuration ◽

Automatic Algorithm

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Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_4 ◽

2016 ◽

pp. 48-59 ◽

Cited By ~ 2

Author(s):

Jakob Bossek ◽

Heike Trautmann

Keyword(s):

State Of The Art ◽

Performance Differences

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Characterization of Neighborhood Behaviours in a Multi-neighborhood Local Search Algorithm

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_17 ◽

2016 ◽

pp. 234-239 ◽

Cited By ~ 2

Author(s):

Nguyen Thi Thanh Dang ◽

Patrick De Causmaecker

Keyword(s):

Local Search ◽

Search Algorithm ◽

Local Search Algorithm

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Hybridisation of Evolutionary Algorithms Through Hyper-heuristics for Global Continuous Optimisation

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_25 ◽

2016 ◽

pp. 296-305 ◽

Cited By ~ 1

Author(s):

Eduardo Segredo ◽

Eduardo Lalla-Ruiz ◽

Emma Hart ◽

Ben Paechter ◽

Stefan Voß

Keyword(s):

Evolutionary Algorithms

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Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_13 ◽

2016 ◽

pp. 187-202 ◽

Cited By ~ 1

Author(s):

Teck-Hou Teng ◽

Stephanus Daniel Handoko ◽

Hoong Chuin Lau

Keyword(s):

Neural Network ◽

Evolutionary Search ◽

Adaptive Operator Selection ◽

Self Organizing

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Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-50349-3_5 ◽

2016 ◽

pp. 60-74

Author(s):

Mauro Brunato ◽

Roberto Battiti

Keyword(s):

Global Optimization

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Lecture Notes in Computer Science - Learning and Intelligent OptimizationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Requests Management for Smartphone-Based Matching Applications Using a Multi-agent Approach

The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers

Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies

Dynamic Strategy to Diversify Search Using a History Map in Parallel Solving

MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework

Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers

Characterization of Neighborhood Behaviours in a Multi-neighborhood Local Search Algorithm

Hybridisation of Evolutionary Algorithms Through Hyper-heuristics for Global Continuous Optimisation

Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search

Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization

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