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E-grāmata: Learning and Intelligent Optimization: 5th International Conference, LION 5, Rome, Italy, January 17-21, 2011, Selected Papers

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This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Learning and Intelligent Optimization, LION 5, held in Rome, Italy, in January 2011.

The 32 revised regular and 3 revised short papers were carefully reviewed and selected from a total of 99 submissions. In addition to the contributions to the general track there are 11 full papers and 3 short papers presented at the following four special sessions; IMON: Intelligent Multiobjective OptimizatioN, LION-PP: Performance Prediction Self* EAs: Self-tuning, self-configuring and self-generating evolutionary algorithms LION-SWAP: Software and Applications.
Main Track (Regular Papers)
Multivariate Statistical Tests for Comparing Classification Algorithms
1(15)
Olcay Taner Yildiz
Ozlem Aslan
Ethem Alpaydin
Using Hyperheuristics under a GP Framework for Financial Forecasting
16(15)
Michael Kampouridis
Edward Tsang
On the Effect of Connectedness for Biobjective Multiple and Long Path Problems
31(15)
Sebastien Verel
Arnaud Liefooghe
Jeremie Humeau
Laetitia Jourdan
Clarisse Dhaenens
Improving Parallel Local Search for SAT
46(15)
Alejandro Arbelaez
Youssef Hamadi
Variable Neighborhood Search for the Time-Dependent Vehicle Routing Problem with Soft Time Windows
61(15)
Stefanie Kritzinger
Fabien Tricoire
Karl F. Doerner
Richard F. Hartl
Solving the Two-Dimensional Bin Packing Problem with a Probabilistic Multi-start Heuristic
76(15)
Lukas Baumgartner
Verena Schmid
Christian Blum
Genetic Diversity and Effective Crossover in Evolutionary Many-objective Optimization
91(15)
Hiroyuki Sato
Hernan E. Aguirre
Kiyoshi Tanaka
An Optimal Stopping Strategy for Online Calibration in Local Search
106(10)
Gianluca Bontempi
Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes
116(15)
Sebastien Verel
Arnaud Liefooghe
Laetitia Jourdan
Clarisse Dhaenens
Instance-Based Parameter Tuning via Search Trajectory Similarity Clustering
131(15)
Lindawati
Hoong Chuin Lau
David Lo
Effective Probabilistic Stopping Rules for Randomized Metaheuristics: GRASP Implementations
146(15)
Celso C. Ribeiro
Isabel Rosseti
Reinaldo C. Souza
A Classifier-Assisted Framework for Expensive Optimization Problems: A Knowledge-Mining Approach
161(15)
Yoel Tenne
Kazuhiro Izui
Shinji Nishiwaki
Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion
176(15)
Romain Benassi
Julien Bect
Emmanuel Vazquez
Hierarchical Hidden Conditional Random Fields for Information Extraction
191(12)
Satoshi Kaneko
Akira Hayashi
Nobuo Suematsu
Kazunori Iwata
Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search
203(15)
Asim Munawar
Mohamed Wahib
Masaharu Munetomo
Kiyoshi Akama
Adaptive Abnormality Detection on ECG Signal by Utilizing FLAC Features
218(8)
Jiaxing Ye
Takumi Kobayashi
Tetsuya Higuchi
Nobuyuki Otsu
Gravitational Interactions Optimization
226(12)
Juan J. Flores
Rodrigo Lopez
Julio Barrera
On the Neutrality of Flowshop Scheduling Fitness Landscapes
238(15)
Marie-Eleonore Marmion
Clarisse Dhaenens
Laetitia Jourdan
Arnaud Liefooghe
Sebastien Verel
A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem
253(10)
Yailen Martinez
Ann Nowe
Juliett Suarez
Rafael Bello
Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling
263(15)
Helga Ingimundardottir
Thomas Philip Runarsson
Fine-Tuning Algorithm Parameters Using the Design of Experiments Approach
278(15)
Aldy Gunawan
Hoong Chuin Lau
Lindawati
MetaHybrid: Combining Metamodels and Gradient-Based Techniques in a Hybrid Multi-Objective Genetic Algorithm
293(15)
Alessandro Turco
Designing Stream Cipher Systems Using Genetic Programming
308(13)
Wasan Shakr Awad
GPU-Based Multi-start Local Search Algorithms
321(15)
The Van Luong
Nouredine Melab
El-Ghazali Talbi
Active Learning of Combinatorial Features for Interactive Optimization
336(15)
Paolo Campigotto
Andrea Passerini
Roberto Battiti
A Genetic Algorithm Hybridized with the Discrete Lagrangian Method for Trap Escaping
351(13)
Madalina Raschip
Cornelius Croitoru
Greedy Local Improvement of SPEA2 Algorithm to Solve the Multiobjective Capacitated Transshipment Problem
364(15)
Nabil Belgasmi
Lamjed Ben Said
Khaled Ghedira
Hybrid Population-Based Incremental Learning Using Real Codes
379(13)
Sujin Bureerat
Pareto Autonomous Local Search
392(15)
Nadarajen Veerapen
Frederic Saubion
Transforming Mathematical Models Using Declarative Reformulation Rules
407(16)
Antonio Frangioni
Luis Perez Sanchez
Learning Heuristic Policies - A Reinforcement Learning Problem
423(10)
Thomas Philip Runarsson
Continuous Upper Confidence Trees
433(13)
Adrien Couetoux
Jean-Baptiste Hoock
Nataliya Sokolovska
Olivier Teytaud
Nicolas Bonnard
Main Track (Short Papers)
Towards an Intelligent Non-Stationary Performance Prediction of Engineering Systems
446(4)
David J.J. Toal
Andy J. Keane
Local Search for Constrained Financial Portfolio Selection Problems with Short Sellings
450(4)
Luca Di Gaspero
Giacomo di Tollo
Andrea Roli
Andrea Schaerf
Clustering of Local Optima in Combinatorial Fitness Landscapes
454(4)
Gabriela Ochoa
Sebastien Verel
Fabio Daolio
Marco Tomassini
Special Session: IMON
Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: A Comparative Study
458(15)
Luis Marti
Jesus Garcia
Antonio Berlanga
Jose M. Molina
Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators
473(15)
Ke Li
Alvaro Fialho
Sam Kwong
Distribution of Computational Effort in Parallel MOEA/D
488(15)
Juan J. Durillo
Qingfu Zhang
Antonio J. Nebro
Enrique Alba
Multi Objective Genetic Programming for Feature Construction in Classification Problems
503(4)
Mauro Castelli
Luca Manzoni
Leonardo Vanneschi
Special Session: LION-PP
Sequential Model-Based Optimization for General Algorithm Configuration
507(17)
Frank Hutter
Holger H. Hoos
Kevin Leyton-Brown
Generalising Algorithm Performance in Instance Space: A Timetabling Case Study
524(15)
Kate Smith-Miles
Leo Lopes
Special Session: Self EAs
A Hybrid Fish Swarm Optimisation Algorithm for Solving Examination Timetabling Problems
539(13)
Hamza Turabieh
Salwani Abdullah
The Sandpile Mutation Operator for Genetic Algorithms
552(15)
C.M. Fernandes
J.L.J. Laredo
A.M. Mora
A.C. Rosa
J.J. Merelo
Self-adaptation Techniques Applied to Multi-Objective Evolutionary Algorithms
567(15)
Saul Zapotecas Martinez
Edgar G. Yanez Oropeza
Carlos A. Coello Coello
Analysing the Performance of Different Population Structures for an Agent-based Evolutionary Algorithm
582(4)
J.L.J. Laredo
J.J. Merelo
C.M. Fernandes
A.M. Mora
M.G. Arenas
P.A. Castillo
P. Garcia-Sanchez
Special Session: LION-SWAP
EDACC - An Advanced Platform for the Experiment Design, Administration and Analysis of Empirical Algorithms
586(14)
Adrian Balint
Daniel Diepold
Daniel Gall
Simon Gerber
Gregor Kapler
Robert Retz
HAL: A Framework for the Automated Analysis and Design of High-Performance Algorithms
600(16)
Christopher Nell
Chris Fawcett
Holger H. Hoos
Kevin Leyton-Brown
Hyperion - A Recursive Hyper-Heuristic Framework
616(15)
Jerry Swan
Ender Ozcan
Graham Kendall
The Cross-Domain Heuristic Search Challenge - An International Research Competition
631(4)
Edmund K. Burke
Michel Gendreau
Matthew Hyde
Graham Kendall
Barry McCollum
Gabriela Ochoa
Andrew J. Parkes
Sanja Petrovic
Author Index 635