List of accepted papers
A cooperative evolutionary approach to learn communities in multilayer networks
Alessia Amelio and Clara Pizzuti
A Differential Evolution Algorithm for the Permutation Flowshop Scheduling Problem with Total Flow Time Criterion
Marco Baioletti, Alfedo Milani and Valentino Santucci
A Generalized Markov-Chain Modelling Approach to $(1,\lambda )$-ES Linear Optimization
Alexandre Chotard and Martin Holena
A Geometrical Approach to the Incompatible Substructure Problem in Parallel Self-Assembly
Navneet Bhalla, Dhananjay Ipparthi, Eric Klemp and Marco Dorigo
A Memetic Algorithm For Multi Layer Hierarchical Ring Network Design
Christian Schauer and Günther Raidl
A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design
Richard Allmendinger and Suzanne Farid
A New EDA by a Gradient-Driven Density
Ignacio Segovia-Dominguez and Arturo Hernandez-Aguirre
A Novel Metaheuristic Optimization Algorithm with Visited-Local-Region Memory
Hansang Yun, Myoung Hoon Ha, Robert Ian McKay and Byung-Ro Moon
A Portfolio Optimization Approach to Selection in MOEAs
Iryna Yevseyeva, Andreia P. Guerreiro, Michael T. M. Emmerich and Carlos M. Fonseca
A Provably Asymptotically Fast Version of the Generalized Jensen Algorithm for Non-Dominated Sorting
Maxim Buzdalov and Anatoly Shalyto
A Study on Multimemetic Estimation of Distribution Algorithms
Rafael Nogueras and Carlos Cotta
A taxonomy of heterogeneity and dynamics in particle swarm optimisation
Harry Goldingay and Peter Lewis
Adaptation in Nonlinear Learning Models for Nonstationary Tasks
Wolfgang Konen and Patrick Koch
An Analysis of Migration Strategies in Island-Based Multimemetic Algorithms
Rafael Nogueras and Carlos Cotta
An Analysis on Selection for High-Resolution Approximations in Many-objective Optimization
Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel and Kiyoshi Tanaka
An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining
Ryan Urbanowicz, Gediminas Bertasius and Jason Moore
An Immune-Inspired Algorithm for the Set Cover Problem
Ayush Joshi, Jonathan E. Rowe and Christine Zarges
Application of Evolutionary Methods to Semiconductor Double-Chirped Mirrors Design
Rafał Biedrzycki, Jarosław Arabas, Agata Jasik, Michał Szymański, Paweł Wnuk, Piotr Wasylczyk and Anna Wójcik-Jedlińska
Automatic Design of Evolutionary Algorithms for Multi-Objective Combinatorial Optimization
Leonardo Bezerra, Manuel López-Ibánez and Thomas Stützle
Average-Case Analysis of Evolutionary Algorithms on High-Density Satisfiable 3-CNF Formulas
Andrew Sutton and Frank Neumann
Balancing Bicycle Sharing Systems: An Analysis of Path Relinking and Recombination within a GRASP Hybrid
Petrina Papazek, Christian Kloimüllner, Bin Hu and Günther Raidl
Bent Function Synthesis by Means of Cartesian Genetic Programming
Radek Hrbacek and Vaclav Dvorak
Boosting Search for Recursive Functions using Partial Call-Trees
Brad Alexander and Brad Zacher
Clustering-Based Selection for Evolutionary Many-Objective Optimization
Roman Denysiuk, Lino Costa and Isabel Espírito Santo
Combining Evolutionary Computation and Algebraic Constructions to find Cryptography-relevant Boolean Functions
Stjepan Picek, Elena Marchiori, Lejla Batina and Domagoj Jakobovic
Combining Model-Based EAs for Mixed-Integer Problems
Krzysztof Sadowski, Dirk Thierens and Peter Bosman
Combining semantically-effective and geometric crossover operators for Genetic Programming
Tomasz Pawlak
Compressing Regular Expression Sets for Deep Packet Inspection
Alberto Bartoli, Simone Cumar, Andrea De Lorenzo and Eric Medvet
Coupling Evolution and Information Theory for Robotic Behavioral Diversity
Guohua Zhang and Michele Sebag
Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements
Heiko Hamann, Gabriele Valentini, Yara Khaluf and Marco Dorigo
Discovery of Implicit Objectives by Compression of Interaction Matrix in Test-based Problems
Paweł Liskowski and Krzysztof Krawiec
Distance Measures for Permutations in Combinatorial Efficient Global Optimization
Martin Zaefferer, Jörg Stork and Thomas Bartz-Beielstein
Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems
Hisao Ishibuchi, Yuki Tanigaki, Hiroyuki Masuda and Yusuke Nojima
Empirical Performance of the Approximation of the Least Hypervolume Contributor
Krzysztof Nowak, Marcus Märtens and Dario Izzo
Evolutionary Constrained Optimization for a Jupiter Capture
Jérémie Labroquere, Aurélie Héritier, Annalisa Riccardi and Dario Izzo
Evolution-In-Materio: Solving Machine Learning Classification Problems Using Materials
Maktuba Mohid, Julian Miller, Simon Harding, Gunnar Tufte, Odd Rune Lykkebo, Kieran Massey and Mike Petty
Evolving DPA-resistant Boolean Functions
Stjepan Picek, Lejla Batina and Domagoj Jakobovic
Evolving Mixtures of n-gram Models for Sequencing and Schedule Optimization
Chung-Yao Chuang and Stephen F. Smith
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data
Travis Desell, Sophine Clachar, James Higgins and Brandon Wild
Factoradic Representation for Permutation Optimisation
Olivier Regnier-Coudert and John Mccall
From Expected Improvement to Investment Portfolio Improvement: Spreading the Risk in Kriging-based Optimization
Rasmus Ursem
Generalised Level-based Analysis for Genetic Algorithms and other Search Processes
Dogan Corus, Duc-Cuong Dang, Anton V. Eremeev and Per Kristian Lehre
Generic Postprocessing via Subset Selection for Hypervolume and Epsilon-Indicator
Karl Bringmann, Tobias Friedrich and Patrick Klitzke
How to Assess Step-Size Adaptation Mechanisms in Randomised Search
Nikolaus Hansen, Asma Atamna and Anne Auger
Improving Genetic Programming with Behavioral Consistency Measure
Krzysztof Krawiec and Armando Solar-Lezama
Inferring and Exploiting Problem Structure with Schema Grammar
Chris Cox and Richard Watson
Less Magic Numbers in Covariance Matrix Adaptation Evolution Strategy
Ilya Loshchilov, Marc Schoenauer and Michele Sebag
Local Optima and Weight Distribution in the Number Partitioning Problem
Khulood Alyahya and Jonathan Rowe
Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives
Manuel López-Ibánez, Arnaud Liefooghe and Sébastien Verel
Maximizing Submodular Functions under Matroid Constraints by Multi-Objective Evolutionary Algorithms
Tobias Friedrich and Frank Neumann
Messy Coding in the XCS Classifier System for Sequence Labeling
Masaya Nakata, Tim Kovacs and Keiki Takadama
MH-MOEA: A New Multi-Objective Evolutionary Algorithm based on the Maximin Fitness Function and the Hypervolume Indicator
Adriana Menchaca and Carlos A. Coello Coello
Multi-objective Quadratic Assignment Problem with known optimum solution
Madalina Drugan
Multiobjective Selection of Input Sensors for SVR Applied to Road Traffic Prediction
Jiri Petrlik, Otto Fucik and Lukas Sekanina
Natural Gradient Approach for Linearly Constrained Continuous Optimization
Youhei Akimoto and Shinichi Shirakawa
Novelty Search in Competitive Coevolution
Jorge Gomes, Pedro Mariano and Anders Christensen
On Effective and Inexpensive Local Search Techniques in Genetic Programming
Fergal Lane, R. Muhammad Atif Azad and Conor Ryan
On low complexity Acceleration Techniques for Randomized Optimization
Sebastian Urban Stich
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments
Chao Qian, Yang Yu, Yaochu Jin and Zhi-Hua Zhou
On the Impact of Multiobjective Scalarizing Functions
Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe and Sebastien Verel
On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system
Emma Hart and Kevin Sim
On the Locality of Standard Search Operators in Grammatical Evolution
Ann Thorhauer and Franz Rothlauf
On the Runtime Analysis of Fitness Sharing Mechanisms
Pietro Oliveto, Dirk Sudholt and Christine Zarges
On the Use of Evolution Strategies for Optimization on Spherical Manifolds
Dirk Arnold
Online Black-box Algorithm Portfolios for Continuous Optimization
Petr Baudis and Petr Posik
Optimized Approximation Sets for Low-dimensional Benchmark Pareto Fronts
Tobias Glasmachers
PaDe: a parallel algorithm based on the MOEA/D framework and the island model
Andrea Mambrini and Dario Izzo
Parameter Prediction based on Features of Evolved Instances for Ant Colony Optimization and the Traveling Salesperson Problem
Samadhi Nallaperuma, Markus Wagner and Frank Neumann
Population Exploration on Genotype Networks in Genetic Programming
Ting Hu, Wolfgang Banzhaf and Jason Moore
Quasi-Stability of Real Coded Finite Populations
Jarosław Arabas and Rafał Biedrzycki
Queued Pareto Local Search for Multi-Objective Optimization
Maarten Inja, Chiel Kooijman, Maarten de Waard, Diederik Roijers and Shimon Whiteson
Racing Multi-Objective Selection Probabilities
Gaetan Marceau Caron and Marc Schoenauer
Random Partial Neighborhood Search for University Course Timetabling Problem
Yuichi Nagata and Isao Ono
Randomized Parameter Settings for Heterogeneous Workers in a Pool-Based Evolutionary Algorithm
Mario García-Valdez, Leonardo Trujillo, Juan Julián Merelo-Guérvos and Francisco Fernández-De-Vega
Recurrent Cartesian Genetic Programming
Andrew Turner and Julian Miller
Reevaluating Exponential Crossover in Differential Evolution
Ryoji Tanabe and Alex Fukunaga
Run-time Parameter Selection and Tuning for Energy Optimization Algorithms
Ingo Mauser, Marita Dorscheid and Hartmut Schmeck
Scheduling the English Football League with a Multi-objective Evolutionary Algorithm
Lyndon While and Graham Kendall
Self-adaptive genotype-phenotype maps: neural networks as a meta-representation
Luís F. Simoes, Dario Izzo, Evert Haasdijk and A.E. Eiben
Shake them all! Rethinking Selection and Replacement in MOEA/D
Gauvain Marquet, Bilel Derbel, Arnaud Liefooghe and El-Ghazali Talbi
Shuffle and Mate: a Dynamic Model for Spatially Structured Evolutionary Algorithms
Carlos Fernandes, Juan Laredo, Juan Julian Marelo, Carlos Cotta, Rafael Nogueras and Agostinho Rosa
Start Small, Grow Big? Saving Multi-objective Function Evaluations
Tobias Glasmachers, Boris Naujoks and Günter Rudolph
Stopping Criteria for Multimodal Optimization
Simon Wessing, Mike Preuss and Heike Trautmann
The Baldwin Effect Hinders Self-Adaptation
Jim Smith
Towards a Method for Automatic Algorithm Configuration: A Design Evaluation using Tuners
Elizabeth Montero and María Cristina Riff
Travelling Salesman Problem solved ‘in materio’ by evolved carbon nanotube device
Kester Clegg, Julian Miller, Kieran Massey and Mike Petty
Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions
Richard Allmendinger, Spyridon Gerontas, Nigel Titchener-Hooker and Suzanne Farid
Unbiased Black-Box Complexity of Parallel Search
Golnaz Badkobeh, Per Kristian Lehre and Dirk Sudholt
Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem
Saul Zapotecas Martinez, Victor A. Sosa Hernandez, Hernan Aguirre, Kiyoshi Tanaka and Carlos Coello Coello
Viability Principles for Constrained Optimization Using a (1+1)-CMA-ES
Andrea Maesani and Dario Floreano
