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ORCID13th PPSN 2014: Ljubljana, Slovenia
- Thomas Bartz-Beielstein
, Jürgen Branke, Bogdan Filipic, Jim Smith:
Parallel Problem Solving from Nature - PPSN XIII - 13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings. Lecture Notes in Computer Science 8672, Springer 2014, ISBN 978-3-319-10761-5
Keynote Papers
- Jadran Lenarcic:
Some Computational Aspects of Robot Kinematic Redundancy. 1-10 - Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck:
Power Distribution Network Reconfiguration by Evolutionary Integer Programming. 11-23 - Ágoston E. Eiben:
In Vivo Veritas: Towards the Evolution of Things. 24-39
Adaptation, Self-Adaptation and Parameter Tuning
- Petr Baudis, Petr Posik:
Online Black-Box Algorithm Portfolios for Continuous Optimization. 40-49 - Carlos M. Fernandes, Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós, Carlos Cotta, Rafael Nogueras, Agostinho C. Rosa:
Shuffle and Mate: A Dynamic Model for Spatially Structured Evolutionary Algorithms. 50-59 - Nikolaus Hansen, Asma Atamna, Anne Auger:
How to Assess Step-Size Adaptation Mechanisms in Randomised Search. 60-69 - Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen:
Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES. 70-79 - Ingo Mauser, Marita Dorscheid, Hartmut Schmeck:
Run-Time Parameter Selection and Tuning for Energy Optimization Algorithms. 80-89 - Elizabeth Montero, María Cristina Riff:
Towards a Method for Automatic Algorithm Configuration: A Design Evaluation Using Tuners. 90-99 - Samadhi Nallaperuma, Markus Wagner, Frank Neumann:
Parameter Prediction Based on Features of Evolved Instances for Ant Colony Optimization and the Traveling Salesperson Problem. 100-109 - Luís F. Simões, Dario Izzo, Evert Haasdijk, Ágoston E. Eiben:
Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation. 110-119 - Jim Smith:
The Baldwin Effect Hinders Self-Adaptation. 120-129 - Sebastian Urban Stich:
On Low Complexity Acceleration Techniques for Randomized Optimization. 130-140 - Simon Wessing, Mike Preuss, Heike Trautmann:
Stopping Criteria for Multimodal Optimization. 141-150 - Hansang Yun, Myoung Hoon Ha, Robert I. McKay:
VLR: A Memory-Based Optimization Heuristic. 151-160
Classifier Systems, Differential Evolution and Swarm Intelligence
- Valentino Santucci, Marco Baioletti, Alfredo Milani:
A Differential Evolution Algorithm for the Permutation Flowshop Scheduling Problem with Total Flow Time Criterion. 161-170 - Harry Goldingay, Peter R. Lewis:
A Taxonomy of Heterogeneity and Dynamics in Particle Swarm Optimisation. 171-180 - Heiko Hamann, Gabriele Valentini, Yara Khaluf, Marco Dorigo:
Derivation of a Micro-Macro Link for Collective Decision-Making Systems - Uncover Network Features Based on Drift Measurements. 181-190 - Masaya Nakata, Tim Kovacs, Keiki Takadama:
Messy Coding in the XCS Classifier System for Sequence Labeling. 191-200 - Ryoji Tanabe, Alex Fukunaga:
Reevaluating Exponential Crossover in Differential Evolution. 201-210 - Ryan J. Urbanowicz, Gediminas Bertasius, Jason H. Moore:
An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining. 211-221
Coevolution and Artificial Immune Systems
- Alessia Amelio, Clara Pizzuti:
A Cooperative Evolutionary Approach to Learn Communities in Multilayer Networks. 222-232 - Jorge C. Gomes, Pedro Mariano, Anders Lyhne Christensen:
Novelty Search in Competitive Coevolution. 233-242 - Ayush Joshi, Jonathan E. Rowe, Christine Zarges:
An Immune-Inspired Algorithm for the Set Cover Problem. 243-251
Constraint Handling
- Youhei Akimoto, Shinichi Shirakawa:
Natural Gradient Approach for Linearly Constrained Continuous Optimization. 252-261 - Jérémie Labroquère, Aurélie Héritier, Annalisa Riccardi, Dario Izzo:
Evolutionary Constrained Optimization for a Jupiter Capture. 262-271 - Andrea Maesani, Dario Floreano:
Viability Principles for Constrained Optimization Using a (1+1)-CMA-ES. 272-281
Dynamic and Uncertain Environments
- Emma Hart, Kevin Sim:
On the Life-Long Learning Capabilities of a NELLI*: A Hyper-Heuristic Optimisation System. 282-291 - Wolfgang Konen, Patrick Koch:
Adaptation in Nonlinear Learning Models for Nonstationary Tasks. 292-301 - Chao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou:
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. 302-311
Estimation of Distribution Algorithms and Metamodelling
- Chung-Yao Chuang, Stephen F. Smith:
Evolving Mixtures of n-gram Models for Sequencing and Schedule Optimization. 312-321 - Rafael Nogueras, Carlos Cotta:
A Study on Multimemetic Estimation of Distribution Algorithms. 322-331 - Olivier Regnier-Coudert, John A. W. McCall:
Factoradic Representation for Permutation Optimisation. 332-341 - Krzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman:
Combining Model-Based EAs for Mixed-Integer Problems. 342-351 - Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Sergio Ivvan Valdez:
A New EDA by a Gradient-Driven Density. 352-361 - Rasmus K. Ursem:
From Expected Improvement to Investment Portfolio Improvement: Spreading the Risk in Kriging-Based Optimization. 362-372 - Martin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein:
Distance Measures for Permutations in Combinatorial Efficient Global Optimization. 373-383
Genetic Programming
- Brad Alexander, Brad Zacher:
Boosting Search for Recursive Functions Using Partial Call-Trees. 384-393 - Alberto Bartoli, Simone Cumar, Andrea De Lorenzo, Eric Medvet:
Compressing Regular Expression Sets for Deep Packet Inspection. 394-403 - Chris R. Cox, Richard A. Watson:
Inferring and Exploiting Problem Structure with Schema Grammar. 404-413 - Radek Hrbacek, Vaclav Dvorak:
Bent Function Synthesis by Means of Cartesian Genetic Programming. 414-423 - Ting Hu, Wolfgang Banzhaf, Jason H. Moore:
Population Exploration on Genotype Networks in Genetic Programming. 424-433 - Krzysztof Krawiec, Armando Solar-Lezama:
Improving Genetic Programming with Behavioral Consistency Measure. 434-443 - Fergal Lane, R. Muhammad Atif Azad, Conor Ryan:
On Effective and Inexpensive Local Search Techniques in Genetic Programming Regression. 444-453 - Tomasz P. Pawlak:
Combining Semantically-Effective and Geometric Crossover Operators for Genetic Programming. 454-464 - Ann Thorhauer, Franz Rothlauf:
On the Locality of Standard Search Operators in Grammatical Evolution. 465-475 - Andrew James Turner, Julian Francis Miller:
Recurrent Cartesian Genetic Programming. 476-486
Multi-objective Optimisation
- Hernán E. Aguirre, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka:
An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization. 487-497 - Richard Allmendinger, Suzanne S. Farid:
A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design. 498-507 - Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Automatic Design of Evolutionary Algorithms for Multi-Objective Combinatorial Optimization. 508-517 - Karl Bringmann, Tobias Friedrich, Patrick Klitzke:
Generic Postprocessing via Subset Selection for Hypervolume and Epsilon-Indicator. 518-527 - Maxim Buzdalov, Anatoly Shalyto:
A Provably Asymptotically Fast Version of the Generalized Jensen Algorithm for Non-dominated Sorting. 528-537 - Roman Denysiuk, Lino A. Costa, Isabel A. Espírito-Santo:
Clustering-Based Selection for Evolutionary Many-Objective Optimization. 538-547 - Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe, Sébastien Vérel:
On the Impact of Multiobjective Scalarizing Functions. 548-558 - Madalina M. Drugan:
Multi-objective Quadratic Assignment Problem Instances Generator with a Known Optimum Solution. 559-568 - Tobias Glasmachers:
Optimized Approximation Sets for Low-Dimensional Benchmark Pareto Fronts. 569-578 - Tobias Glasmachers, Boris Naujoks, Günter Rudolph:
Start Small, Grow Big? Saving Multi-objective Function Evaluations. 579-588 - Maarten Inja, Chiel Kooijman, Maarten de Waard, Diederik M. Roijers, Shimon Whiteson:
Queued Pareto Local Search for Multi-Objective Optimization. 589-599 - Hisao Ishibuchi, Yuki Tanigaki, Hiroyuki Masuda, Yusuke Nojima:
Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems. 600-610 - Pawel Liskowski, Krzysztof Krawiec:
Discovery of Implicit Objectives by Compression of Interaction Matrix in Test-Based Problems. 611-620 - Manuel López-Ibáñez, Arnaud Liefooghe, Sébastien Vérel:
Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives. 621-630 - Gaétan Marceau-Caron, Marc Schoenauer:
Racing Multi-objective Selection Probabilities. 631-640 - Gauvain Marquet, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi:
Shake Them All! - Rethinking Selection and Replacement in MOEA/D. 641-651 - Adriana Menchaca-Méndez, Carlos A. Coello Coello:
MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume Indicator. 652-661 - Krzysztof Nowak, Marcus Märtens, Dario Izzo:
Empirical Performance of the Approximation of the Least Hypervolume Contributor. 662-671 - Iryna Yevseyeva, Andreia P. Guerreiro, Michael T. M. Emmerich, Carlos M. Fonseca:
A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms. 672-681 - Saúl Zapotecas Martínez, Víctor Adrián Sosa-Hernández, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello:
Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem. 682-691
Parallel Algorithms and Hardware Implementations
- Kester Dean Clegg, Julian Francis Miller, Mark Kieran Massey, Mike Petty:
Travelling Salesman Problem Solved 'in materio' by Evolved Carbon Nanotube Device. 692-701 - Mario García Valdez, Leonardo Trujillo, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Randomized Parameter Settings for Heterogeneous Workers in a Pool-Based Evolutionary Algorithm. 702-710 - Andrea Mambrini, Dario Izzo:
PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island Model. 711-720 - Maktuba Mohid, Julian Francis Miller, Simon L. Harding, Gunnar Tufte, Odd Rune Lykkebø, Mark K. Massey, Michael C. Petty:
Evolution-In-Materio: Solving Machine Learning Classification Problems Using Materials. 721-730 - Rafael Nogueras, Carlos Cotta:
An Analysis of Migration Strategies in Island-Based Multimemetic Algorithms. 731-740
Real-World Applications
- Richard Allmendinger, Spyridon Gerontas, Nigel John Titchener-Hooker, Suzanne S. Farid:
Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions. 741-750 - Navneet Bhalla, Dhananjay Ipparthi, Eric Klemp, Marco Dorigo:
A Geometrical Approach to the Incompatible Substructure Problem in Parallel Self-Assembly. 751-760 - Rafal Biedrzycki, Jaroslaw Arabas, Agata Jasik, Michal Szymanski, Pawel Wnuk, Piotr Wasylczyk, Anna Wójcik-Jedlinska:
Application of Evolutionary Methods to Semiconductor Double-Chirped Mirrors Design. 761-770 - Travis Desell, Sophine Clachar, James Higgins, Brandon Wild:
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data. 771-781 - Yuichi Nagata, Isao Ono:
Random Partial Neighborhood Search for University Course Timetabling Problem. 782-791 - Petrina Papazek, Christian Kloimüllner, Bin Hu, Günther R. Raidl:
Balancing Bicycle Sharing Systems: An Analysis of Path Relinking and Recombination within a GRASP Hybrid. 792-801 - Jiri Petrlik, Otto Fucík, Lukás Sekanina:
Multiobjective Selection of Input Sensors for SVR Applied to Road Traffic Prediction. 802-811 - Stjepan Picek, Lejla Batina, Domagoj Jakobovic:
Evolving DPA-Resistant Boolean Functions. 812-821 - Stjepan Picek, Elena Marchiori, Lejla Batina, Domagoj Jakobovic:
Combining Evolutionary Computation and Algebraic Constructions to Find Cryptography-Relevant Boolean Functions. 822-831 - Christian Schauer, Günther R. Raidl:
A Memetic Algorithm for Multi Layer Hierarchical Ring Network Design. 832-841 - Lyndon While, Graham Kendall:
Scheduling the English Football League with a Multi-objective Evolutionary Algorithm. 842-851 - Guohua Zhang, Michèle Sebag:
Coupling Evolution and Information Theory for Autonomous Robotic Exploration. 852-861
Theory
- Khulood AlYahya, Jonathan E. Rowe:
Local Optima and Weight Distribution in the Number Partitioning Problem. 862-871 - Jaroslaw Arabas, Rafal Biedrzycki:
Quasi-Stability of Real Coded Finite Populations. 872-881 - Dirk V. Arnold:
On the Use of Evolution Strategies for Optimization on Spherical Manifolds. 882-891 - Golnaz Badkobeh, Per Kristian Lehre, Dirk Sudholt:
Unbiased Black-Box Complexity of Parallel Search. 892-901 - Alexandre Adrien Chotard, Martin Holena:
A Generalized Markov-Chain Modelling Approach to (1, λ)-ES Linear Optimization. 902-911 - Dogan Corus, Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre:
Level-Based Analysis of Genetic Algorithms and Other Search Processes. 912-921 - Tobias Friedrich, Frank Neumann:
Maximizing Submodular Functions under Matroid Constraints by Multi-objective Evolutionary Algorithms. 922-931 - Pietro S. Oliveto, Dirk Sudholt, Christine Zarges:
On the Runtime Analysis of Fitness Sharing Mechanisms. 932-941 - Andrew M. Sutton, Frank Neumann:
Runtime Analysis of Evolutionary Algorithms on Randomly Constructed High-Density Satisfiable 3-CNF Formulas. 942-951
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