PPSN XII - LNCS 7491-7492 CD-ROM

Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, and Mario Pavone (Eds.):

Parallel Problem Solving from Nature - PPSN XII

12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II

LNCS 7492

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Title Pages in PDF
Preface in PDF
Organization in PDF
Table of Contents in PDF

Multiobjective Optimization

Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution
Kalyanmoy Deb, Sunith Bandaru, and Cem Celal Tutum
LNCS 7492, p. 1 ff.
Abstract | Full article in PDF | BibTeX

Exploiting Prior Information in Multi-objective Route Planning
Antony Waldock and David W. Corne
LNCS 7492, p. 11 ff.
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Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization
Naoya Kowatari, Akira Oyama, Hernán Aguirre, and Kiyoshi Tanaka
LNCS 7492, p. 22 ff.
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Clustering Criteria in Multiobjective Data Clustering
Julia Handl and Joshua Knowles
LNCS 7492, p. 32 ff.
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Enhancing Profitability through Interpretability in Algorithmic Trading with a Multiobjective Evolutionary Fuzzy System
Adam Ghandar, Zbigniew Michalewicz, and Ralf Zurbruegg
LNCS 7492, p. 42 ff.
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Bootstrapping Aggregate Fitness Selection with Evolutionary Multi-Objective Optimization
Shlomo Israel and Amiram Moshaiov
LNCS 7492, p. 52 ff.
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Network Topology Planning Using MOEA/D with Objective-Guided Operators
Wei Peng and Qingfu Zhang
LNCS 7492, p. 62 ff.
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Elitist Archiving for Multi-Objective Evolutionary Algorithms: To Adapt or Not to Adapt
Hoang N. Luong and Peter A.N. Bosman
LNCS 7492, p. 72 ff.
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An Improved Multiobjectivization Strategy for HP Model-Based Protein Structure Prediction
Mario Garza-Fabre, Eduardo Rodriguez-Tello, and Gregorio Toscano-Pulido
LNCS 7492, p. 82 ff.
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MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems
Hui Li, Xiaolei Su, Zongben Xu, and Qingfu Zhang
LNCS 7492, p. 93 ff.
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A Study on Evolutionary Multi-Objective Optimization with Fuzzy Approximation for Computational Expensive Problems
Alessandro G. Di Nuovo, Giuseppe Ascia, and Vincenzo Catania
LNCS 7492, p. 102 ff.
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Multi-objective Optimization for Selecting and Scheduling Observations by Agile Earth Observing Satellites
Panwadee Tangpattanakul, Nicolas Jozefowiez, and Pierre Lopez
LNCS 7492, p. 112 ff.
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Tailoring -MOEA to Concept-Based Problems
Amiram Moshaiov and Yafit Snir
LNCS 7492, p. 122 ff.
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Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems
Hisao Ishibuchi, Naoya Akedo, and Yusuke Nojima
LNCS 7492, p. 132 ff.
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Swarm Intelligence, Collective Behaviour, Coevolution and Robotics

An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem
Francisco J. Rodriguez, Carlos García-Martínez, Christian Blum, and Manuel Lozano
LNCS 7492, p. 143 ff.
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Controlling the Parameters of the Particle Swarm Optimization with a Self-Organized Criticality Model
Carlos M. Fernandes, Juan J. Merelo, and Agostinho C. Rosa
LNCS 7492, p. 153 ff.
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The Apiary Topology: Emergent Behavior in Communities of Particle Swarms
Andrew McNabb and Kevin Seppi
LNCS 7492, p. 164 ff.
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ACO on Multiple GPUs with CUDA for Faster Solution of QAPs
Shigeyoshi Tsutsui
LNCS 7492, p. 174 ff.
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It’s Fate: A Self-organising Evolutionary Algorithm
Jan Bim, Giorgos Karafotias, S.K. Smit, A.E. Eiben, and Evert Haasdijk
LNCS 7492, p. 185 ff.
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Guide Objective Assisted Particle Swarm Optimization and Its Application to History Matching
Alan P. Reynolds, Asaad Abdollahzadeh, David W. Corne, Mike Christie, Brian Davies, and Glyn Williams
LNCS 7492, p. 195 ff.
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Animal Spirits in Population Spatial Dynamics
Matylda Jaboska and Tuomo Kauranne
LNCS 7492, p. 205 ff.
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Autonomous Shaping via Coevolutionary Selection of Training Experience
Marcin Szubert and Krzysztof Krawiec
LNCS 7492, p. 215 ff.
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A Parallel Cooperative Co-evolutionary Genetic Algorithm for the Composite SaaS Placement Problem in Cloud Computing
Maolin Tang and Zeratul Izzah Mohd Yusoh
LNCS 7492, p. 225 ff.
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Community Detection Using Cooperative Co-evolutionary Differential Evolution
Qiang Huang, Thomas White, Guanbo Jia, Mirco Musolesi, Nil Turan, Ke Tang, Shan He, John K. Heath, and Xin Yao
LNCS 7492, p. 235 ff.
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On-Line Evolution of Controllers for Aggregating Swarm Robots in Changing Environments
Berend Weel, Mark Hoogendoorn, and A.E. Eiben
LNCS 7492, p. 245 ff.
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Buildable Objects Revisited
Martin Waßmann and Karsten Weicker
LNCS 7492, p. 255 ff.
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Collective Robot Navigation Using Diffusion Limited Aggregation
Jonathan Mullins, Bernd Meyer, and Aiguo Patrick Hu
LNCS 7492, p. 266 ff.
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Memetic Algorithms, Hybridized Techniques, Meta and Hyperheuristics

Global Equilibrium Search Algorithms for Combinatorial Optimization Problems
Oleg Shylo, Dmytro Korenkevych, and Panos M. Pardalos
LNCS 7492, p. 277 ff.
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A Genetic Programming Approach for Evolving Highly-Competitive General Algorithms for Envelope Reduction in Sparse Matrices
Behrooz Koohestani and Riccardo Poli
LNCS 7492, p. 287 ff.
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A Memetic Approach for the Max-Cut Problem
Qinghua Wu and Jin-Kao Hao
LNCS 7492, p. 297 ff.
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An Improved Choice Function Heuristic Selection for Cross Domain Heuristic Search
John H. Drake, Ender Özcan, and Edmund K. Burke
LNCS 7492, p. 307 ff.
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Optimizing Cellular Automata through a Meta-model Assisted Memetic Algorithm
Donato D’Ambrosio, Rocco Rongo, William Spataro, and Giuseppe A. Trunfio
LNCS 7492, p. 317 ff.
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A Memetic Algorithm for Community Detection in Complex Networks
Olivier Gach and Jin-Kao Hao
LNCS 7492, p. 327 ff.
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Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance
Francisco Chicano, Fabio Daolio, Gabriela Ochoa, Sébastien Vérel, Marco Tomassini, and Enrique Alba
LNCS 7492, p. 337 ff.
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A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution
Kevin Sim, Emma Hart, and Ben Paechter
LNCS 7492, p. 348 ff.
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A Framework to Hybridize PBIL and a Hyper-heuristic for Dynamic Environments
Gönül Uluda, Berna Kiraz, A. ima Etaner-Uyar, and Ender Özcan
LNCS 7492, p. 358 ff.
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Parallelization Strategies for Hybrid Metaheuristics Using a Single GPU and Multi-core Resources
Thé Van Luong, Eric Taillard, Nouredine Melab, and El-Ghazali Talbi
LNCS 7492, p. 368 ff.
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Adaptive Operator Selection at the Hyper-level
Eduardo Krempser, Álvaro Fialho, and Helio J.C. Barbosa
LNCS 7492, p. 378 ff.
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Improving Lin-Kernighan-Helsgaun with Crossover on Clustered Instances of the TSP
Doug Hains, Darrell Whitley, and Adele Howe
LNCS 7492, p. 388 ff.
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A Comparative Study of Three GPU-Based Metaheuristics
Youssef S.G. Nashed, Pablo Mesejo, Roberto Ugolotti, Jérémie Dubois-Lacoste, and Stefano Cagnoni
LNCS 7492, p. 398 ff.
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The Effect of the Set of Low-Level Heuristics on the Performance of Selection Hyper-heuristics
M. Msr, K. Verbeeck, P. De Causmaecker, and G. Vanden Berghe
LNCS 7492, p. 408 ff.
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Adaptive Evolutionary Algorithms and Extensions to the HyFlex Hyper-heuristic Framework
Gabriela Ochoa, James Walker, Matthew Hyde, and Tim Curtois
LNCS 7492, p. 418 ff.
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Applications (II)

Applying Genetic Regulatory Networks to Index Trading
Miguel Nicolau, Michael O’Neill, and Anthony Brabazon
LNCS 7492, p. 428 ff.
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Evolutionary 3D-Shape Segmentation Using Satellite Seeds
Kai Engel and Heinrich Müller
LNCS 7492, p. 438 ff.
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Benchmarking CHC on a New Application: The Software Project Scheduling Problem
Javier Matos and Enrique Alba
LNCS 7492, p. 448 ff.
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Automatic Evaluation Methods in Evolutionary Music: An Example with Bossa Melodies
A.R.R. Freitas, F.G. Guimarães, and R.V. Barbosa
LNCS 7492, p. 458 ff.
Abstract | Full article in PDF | BibTeX

Efficient Discovery of Chromatography Equipment Sizing Strategies for Antibody Purification Processes Using Evolutionary Computing
Richard Allmendinger, Ana S. Simaria, and Suzanne S. Farid
LNCS 7492, p. 468 ff.
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Beware the Parameters: Estimation of Distribution Algorithms Applied to Circles in a Square Packing
Marcus Gallagher
LNCS 7492, p. 478 ff.
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Block Diagonal Natural Evolution Strategies
Giuseppe Cuccu and Faustino Gomez
LNCS 7492, p. 488 ff.
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Finding Good Affinity Patterns for Matchmaking Parties Assignment through Evolutionary Computation
Sho Kuroiwa, Keiichi Yasumoto, Yoshihiro Murata, and Minoru Ito
LNCS 7492, p. 498 ff.
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A Benchmark Generator for Dynamic Permutation-Encoded Problems
Michalis Mavrovouniotis, Shengxiang Yang, and Xin Yao
LNCS 7492, p. 508 ff.
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Evolving Femtocell Algorithms with Dynamic and Stationary Training Scenarios
Erik Hemberg, Lester Ho, Michael O’Neill, and Holger Claussen
LNCS 7492, p. 518 ff.
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Author Index
LNCS 7492, p. 529 ff.
Author Index in PDF

Complete Volume in BibTeX