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11th LION 2017: Nizhny Novgorod, Russia
- Roberto Battiti, Dmitri E. Kvasov, Yaroslav D. Sergeyev:
Learning and Intelligent Optimization - 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10556, Springer 2017, ISBN 978-3-319-69403-0
Long Papers
- Steven Adriaensen, Filip Moons, Ann Nowé:
An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design. 3-17 - Konstantin Barkalov, Roman G. Strongin:
Test Problems for Parallel Algorithms of Constrained Global Optimization. 18-33 - Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
Automatic Configuration of Kernel-Based Clustering: An Optimization Approach. 34-49 - Adil I. Erzin:
Solution of the Convergecast Scheduling Problem on a Square Unit Grid When the Transmission Range is 2. 50-63 - Giovanni Felici, Daniele Ferone, Paola Festa, Antonio Napoletano, Tommaso Pastore:
A GRASP for the Minimum Cost SAT Problem. 64-78 - Daniele Ferone, Paola Festa, Antonio Napoletano, Mauricio G. C. Resende:
A New Local Search for the p-Center Problem Based on the Critical Vertex Concept. 79-92 - Angeliki Gretsista, Edmund K. Burke:
An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering. 93-108 - Serdar Kadioglu, Meinolf Sellmann, Markus Wagner:
Learning a Reactive Restart Strategy to Improve Stochastic Search. 109-123 - Daniel Karapetyan, Alexei Vernitski:
Efficient Adaptive Implementation of the Serial Schedule Generation Scheme Using Preprocessing and Bloom Filters. 124-138 - Oleg O. Khamisov, Valery A. Stennikov:
Interior Point and Newton Methods in Solving High Dimensional Flow Distribution Problems for Pipe Networks. 139-149 - Christian Kloimüllner, Günther R. Raidl:
Hierarchical Clustering and Multilevel Refinement for the Bike-Sharing Station Planning Problem. 150-165 - Igor Konnov:
Decomposition Descent Method for Limit Optimization Problems. 166-179 - Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang:
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization. 180-195 - Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens:
A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem. 196-209 - Evgeni A. Nurminski:
Sharp Penalty Mappings for Variational Inequality Problems. 210-221 - Andrei V. Orlov:
A Nonconvex Optimization Approach to Quadratic Bilevel Problems. 222-234 - Leslie Pérez Cáceres, Manuel López-Ibáñez, Holger H. Hoos, Thomas Stützle:
An Experimental Study of Adaptive Capping in irace. 235-250 - Sergei P. Sidorov, Sergei V. Mironov:
Duality Gap Analysis of Weak Relaxed Greedy Algorithms. 251-262 - Olivier Wang, Leo Liberti:
Controlling Some Statistical Properties of Business Rules Programs. 263-276
GENOPT Paper
- Francesco Romito:
Hybridization and Discretization Techniques to Speed Up Genetic Algorithm and Solve GENOPT Problems. 279-292
Short Papers
- Alla F. Albu, Yury G. Evtushenko, Vladimir I. Zubov:
Identification of Discontinuous Thermal Conductivity Coefficient Using Fast Automatic Differentiation. 295-300 - Konstantin Barkalov, Ilya Lebedev:
Comparing Two Approaches for Solving Constrained Global Optimization Problems. 301-306 - Erik Berglund:
Towards a Universal Modeller of Chaotic Systems. 307-313 - Victor Gergel:
An Approach for Generating Test Problems of Constrained Global Optimization. 314-319 - Victor Gergel, Alexey Goryachih:
Global Optimization Using Numerical Approximations of Derivatives. 320-325 - Jonathan Gillard, Anatoly A. Zhigljavsky:
Global Optimization Challenges in Structured Low Rank Approximation. 326-330 - Tatiana V. Gruzdeva, Alexander S. Strekalovsky:
A D.C. Programming Approach to Fractional Problems. 331-337 - Oleg V. Khamisov:
Objective Function Decomposition in Global Optimization. 338-344 - Alexander Y. Krylatov, Anastasiya P. Shirokolobova:
Projection Approach Versus Gradient Descent for Network's Flows Assignment Problem. 345-350 - Alexander V. Kononov, Yulia V. Kovalenko:
An Approximation Algorithm for Preemptive Speed Scaling Scheduling of Parallel Jobs with Migration. 351-357 - Amir Mosavi, Timon Rabczuk:
Learning and Intelligent Optimization for Material Design Innovation. 358-363 - Andrey Pepelyshev, Vladimir Kornikov, Anatoly A. Zhigljavsky:
Statistical Estimation in Global Random Search Algorithms in Case of Large Dimensions. 364-369 - Mikhail Reznikov, Yuri S. Fedosenko:
A Model of FPGA Massively Parallel Calculations for Hard Problem of Scheduling in Transportation Systems. 370-375 - Alexander Senov:
Accelerating Gradient Descent with Projective Response Surface Methodology. 376-382 - Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
Emmental-Type GKLS-Based Multiextremal Smooth Test Problems with Non-linear Constraints. 383-388
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