5. LION 2011: Rome, Italy

Main Track (Regular Papers)

• Olcay Taner Yildiz, Özlem Aslan, Ethem Alpaydin:
  Multivariate Statistical Tests for Comparing Classification Algorithms. 1-15
  
• Michael Kampouridis, Edward P. K. Tsang:
  Using Hyperheuristics under a GP Framework for Financial Forecasting. 16-30
  
• Sébastien Vérel, Arnaud Liefooghe, Jérémie Humeau, Laetitia Jourdan, Clarisse Dhaenens:
  On the Effect of Connectedness for Biobjective Multiple and Long Path Problems. 31-45
  
• Alejandro Arbelaez, Youssef Hamadi:
  Improving Parallel Local Search for SAT. 46-60
  
• Stefanie Kritzinger, Fabien Tricoire, Karl F. Doerner, Richard F. Hartl:
  Variable Neighborhood Search for the Time-Dependent Vehicle Routing Problem with Soft Time Windows. 61-75
  
• Lukas Baumgartner, Verena Schmid, Christian Blum:
  Solving the Two-Dimensional Bin Packing Problem with a Probabilistic Multi-start Heuristic. 76-90
  
• Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka:
  Genetic Diversity and Effective Crossover in Evolutionary Many-objective Optimization. 91-105
  
• Gianluca Bontempi:
  An Optimal Stopping Strategy for Online Calibration in Local Search. 106-115
  
• Sébastien Vérel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens:
  Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes. 116-130
  
• Lindawati, Hoong Chuin Lau, David Lo:
  Instance-Based Parameter Tuning via Search Trajectory Similarity Clustering. 131-145
  
• Celso C. Ribeiro, Isabel Rosseti, Reinaldo C. Souza:
  Effective Probabilistic Stopping Rules for Randomized Metaheuristics: GRASP Implementations. 146-160
  
• Yoel Tenne, Kazuhiro Izui, Shinji Nishiwaki:
  A Classifier-Assisted Framework for Expensive Optimization Problems: A Knowledge-Mining Approach. 161-175
  
• Romain Benassi, Julien Bect, Emmanuel Vázquez:
  Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion. 176-190
  
• Satoshi Kaneko, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata:
  Hierarchical Hidden Conditional Random Fields for Information Extraction. 191-202
  
• Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
  Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. 203-217
  
• Jiaxing Ye, Takumi Kobayashi, Tetsuya Higuchi, Nobuyuki Otsu:
  Adaptive Abnormality Detection on ECG Signal by Utilizing FLAC Features. 218-225
  
• Juan J. Flores, Rodrigo López, Julio Barrera:
  Gravitational Interactions Optimization. 226-237
  
• Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel:
  On the Neutrality of Flowshop Scheduling Fitness Landscapes. 238-252
  
• Yailen Martínez, Ann Nowé, Juliett Suárez, Rafael Bello:
  A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem. 253-262
  
• Helga Ingimundardottir, Thomas Philip Runarsson:
  Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling. 263-277
  
• Aldy Gunawan, Hoong Chuin Lau, Lindawati:
  Fine-Tuning Algorithm Parameters Using the Design of Experiments Approach. 278-292
  
• Alessandro Turco:
  MetaHybrid: Combining Metamodels and Gradient-Based Techniques in a Hybrid Multi-Objective Genetic Algorithm. 293-307
  
• Wasan Shaker Awad:
  Designing Stream Cipher Systems Using Genetic Programming. 308-320
  
• Thé Van Luong, Nouredine Melab, El-Ghazali Talbi:
  GPU-Based Multi-start Local Search Algorithms. 321-335
  
• Paolo Campigotto, Andrea Passerini, Roberto Battiti:
  Active Learning of Combinatorial Features for Interactive Optimization. 336-350
  
• Madalina Raschip, Cornelius Croitoru:
  A Genetic Algorithm Hybridized with the Discrete Lagrangian Method for Trap Escaping. 351-363
  
• Nabil Belgasmi, Lamjed Ben Said, Khaled Ghédira:
  Greedy Local Improvement of SPEA2 Algorithm to Solve the Multiobjective Capacitated Transshipment Problem. 364-378
  
• Sujin Bureerat:
  Hybrid Population-Based Incremental Learning Using Real Codes. 379-391
  
• Nadarajen Veerapen, Frédéric Saubion:
  Pareto Autonomous Local Search. 392-406
  
• Antonio Frangioni, Luis Perez Sanchez:
  Transforming Mathematical Models Using Declarative Reformulation Rules. 407-422
  
• Thomas Philip Runarsson:
  Learning Heuristic Policies - A Reinforcement Learning Problem. 423-432
  
• Adrien Couëtoux, Jean-Baptiste Hoock, Nataliya Sokolovska, Olivier Teytaud, Nicolas Bonnard:
  Continuous Upper Confidence Trees. 433-445
  

Main Track (Short Papers)

• David J. J. Toal, Andy J. Keane:
  Towards an Intelligent Non-stationary Performance Prediction of Engineering Systems. 446-449
  
• Luca Di Gaspero, Giacomo di Tollo, Andrea Roli, Andrea Schaerf:
  Local Search for Constrained Financial Portfolio Selection Problems with Short Sellings. 450-453
  
• Gabriela Ochoa, Sébastien Vérel, Fabio Daolio, Marco Tomassini:
  Clustering of Local Optima in Combinatorial Fitness Landscapes. 454-457
  

Special Session: IMON

• Luis Martí, Jesús García, Antonio Berlanga, José M. Molina:
  Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: A Comparative Study. 458-472
  
• Ke Li, Álvaro Fialho, Sam Kwong:
  Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators. 473-487
  
• Juan José Durillo, Qingfu Zhang, Antonio J. Nebro, Enrique Alba:
  Distribution of Computational Effort in Parallel MOEA/D. 488-502
  
• Mauro Castelli, Luca Manzoni, Leonardo Vanneschi:
  Multi Objective Genetic Programming for Feature Construction in Classification Problems. 503-506
  

Special Session: LION-PP

• Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown:
  Sequential Model-Based Optimization for General Algorithm Configuration. 507-523
  
• Kate Smith-Miles, Leo Lopes:
  Generalising Algorithm Performance in Instance Space: A Timetabling Case Study. 524-538
  

Special Session: Self* EAs

• Hamza Turabieh, Salwani Abdullah:
  A Hybrid Fish Swarm Optimisation Algorithm for Solving Examination Timetabling Problems. 539-551
  
• Carlos M. Fernandes, Juan Luís Jiménez Laredo, Antonio Miguel Mora, Agostinho C. Rosa, Juan J. Merelo Guervós:
  The Sandpile Mutation Operator for Genetic Algorithms. 552-566
  
• Saúl Zapotecas Martínez, Edgar G. Yáñez Oropeza, Carlos A. Coello Coello:
  Self-adaptation Techniques Applied to Multi-Objective Evolutionary Algorithms. 567-581
  
• Juan Luís Jiménez Laredo, Juan J. Merelo Guervós, Carlos M. Fernandes, Antonio Miguel Mora, Maribel García Arenas, Pedro A. Castillo, Pablo García-Sánchez:
  Analysing the Performance of Different Population Structures for an Agent-Based Evolutionary Algorithm. 582-585
  

Special Session: LION-SWAP

• Adrian Balint, Daniel Diepold, Daniel Gall, Simon Gerber, Gregor Kapler, Robert Retz:
  EDACC - An Advanced Platform for the Experiment Design, Administration and Analysis of Empirical Algorithms. 586-599
  
• Christopher Nell, Chris Fawcett, Holger H. Hoos, Kevin Leyton-Brown:
  HAL: A Framework for the Automated Analysis and Design of High-Performance Algorithms. 600-615
  
• Jerry Swan, Ender Özcan, Graham Kendall:
  Hyperion - A Recursive Hyper-Heuristic Framework. 616-630
  
• Edmund K. Burke, Michel Gendreau, Matthew R. Hyde, Graham Kendall, Barry McCollum, Gabriela Ochoa, Andrew J. Parkes, Sanja Petrovic:
  The Cross-Domain Heuristic Search Challenge - An International Research Competition. 631-634
  

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