W Langdon, Justyna Petke and Bobby R. Bruce. Optimising Quantisation Noise in Energy Measurement
Weijie Zheng, Haohuan Fu and Guangwen Yang TADE: Tight Adaptive Differential Evolution
Randal Olson, Jason Moore and Christoph Adami Evolution of active categorical image classification via saccadic eye movement
Yuichi Nagata Population Diversity Measures based on Variable-order Markov Models for the Traveling Salesman Problem
Youhei Akimoto and Nikolaus Hansen Online Model Selection for Restricted Covariance Matrix Adaptation
Jesús Guillermo Falcón Cardona and Carlos A. Coello Coello iMOACOR: A New Indicator-Based Multi-Objective Ant Colony Optimization Algorithm for Continuous Search Spaces
Stefano Nichele, Tom Eivind Glover and Gunnar Tufte Genotype Regulation by Self-Modifying Instruction-Based Development on Cellular Automata
Renato Tinos and Shengxiang Yang Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization
Alberto Bartoli, Andrea De Lorenzo, Eric Medvet and Fabiano Tarlao Syntactical Similarity Learning by means of Grammatical Evolution
Mojgan Pourhassan, Feng Shi and Frank Neumann Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem
Michael Hellwig and Hans-Georg Beyer Evolution under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound – the pcCMSA-ES
Jorge Gomes, Miguel Duarte, Pedro Mariano and Anders Lyhne Christensen Cooperative Coevolution of Control for a Real Multirobot System
Wanru Gao, Samadhi Nallaperuma and Frank Neumann Feature-Based Diversity Optimization for Problem Instance Classification
Mayowa Ayodele, John McCall and Olivier Regnier-Coudert RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm
Ryoji Tanabe and Alex Fukunaga How Far Are We From an Optimal, Adaptive DE?
Pak-Kan Wong, Man-Leung Wong and Kwong-Sak Leung Hierarchical Knowledge in Self-Improving Grammar Based Genetic Programming
Chao Qian, Ke Tang and Zhi-Hua Zhou Selection Hyper-heuristics Can Provably be Helpful in Evolutionary Multi-objective Optimization
Jacob Soderlund, Darwin Vickers and Alan Blair Parallel Hierarchical Evolution of String Library Functions
Xiaofen Lu, Ke Tang and Xin Yao Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation
Ann Thorhauer On the Non-uniform Redundancy in Grammatical Evolution
Luis Miguel Antonio and Carlos A. Cello Coello Use of Cooperative Coevolution in a Decomposition-based Approach for Solving Large Scale Multi-objective Problems
Ke Li, Mohammad Omidvar, Kalyanmoy Deb and Xin Yao Variable Interactions in Multi-Objective Optimization Problems
Asma Atamna, Anne Auger and Nikolaus Hansen Augmented Lagrangian Constraint Handling for CMA-ES–Case of a Single Linear Constraint
Amit Benbassat and Avishai Henik Replicating the Stroop Effect using A Developmental Spatial Neuroevolution System
Nacim Belkhir, Johann Dréo, Pierre Savéant and Marc Schoenauer Feature Based Algorithm Configuration: a Case Study with Differential Evolution
Thi Huong Chu, Quang Uy Nguyen and Michael O’Neill Tournament Selection based on Statistical Test in Genetic Programming
Wanru Gao, Tobias Friedrich and Frank Neumann Fixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover
Zhenhua Li and Qingfu Zhang What does the Evolution Path Approximate in CMA-ES?
Tobias Friedrich, Timo Kötzing, Martin S. Krejca and Andrew M. Sutton Graceful Scaling on Uniform versus Steep-Tailed Noise
Xiuli Wu, Pietro Consoli, Leandro Minku, Gabriela Ochoa and Xin Yao An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem
Shouyong Jiang and Shengxiang Yang Convergence Versus Diversity in Multiobjective Optimization
Juergen Branke and Xin Fei Efficient Sampling when Searching for Robust Solutions
Ke Lu, Juergen Branke and Tapabrata Ray Improving Efficiency of Bi-level Worst Case Optimization
Daniel Horn, Karin Schork and Tobias Wagner Multi-Objective Selection of Algorithm Portfolios: Experimental Validation
W Langdon Kin Selection with Twin Genetic Programming
Carlos Fernandes, Jj Merelo and Agostinho Da Rosa An Asynchronous and Steady State Update Strategy for the Particle Swarm Optimization Algorithm
Brad Alexander, George Lorenzetti, Constantina Pyromallis and Brad Zacher Using Scaffolding with Partial Call-Trees to Improve Search
Tobias Friedrich, Timo Kötzing and Andrew Sutton On the Robustness of Evolving Populations
Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán Aguirre and Kiyoshi Tanaka Multi-objective Local Search based on Decomposition
Zhilei Ren, He Jiang, Jifeng Xuan and Yan Hu Analyzing Inter-objective Relationships: A Case Study of Software Upgradability
Martin Pilat and Roman Neruda Feature Extraction for Surrogate Models in Genetic Programming
Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen and Yaochu Jin On constraint handling in surrogate-assisted evolutionary many-objective optimization
Francesco Marino, Giovanni Squillero and Alberto Tonda A General-Purpose Framework for Genetic Improvement
Justin Pugh, Lisa Soros and Kenneth Stanley Searching for Quality Diversity when Diversity is Unaligned with Quality
Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer and Michael T. M. Emmerich Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms
Willem den Besten, Dirk Thierens and Peter A.N. Bosman The Multiple Insertion Pyramid: A Fast Parameter-less Population Scheme
Emily L. Rounds, Eric O. Scott, Andrew S. Alexander, Kenneth A. De Jong, Douglas A. Nitz and Jeffrey L. Krichmar An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks
Momodou Sanyang and Ata Kaban REMEDA: Random Embedding EDA for optimising functions with intrinsic dimension
Francisco Chavez de La O, Francisco Fernandez de Vega, Josefa Diaz Alvarez, Juan Angel Garcia, Pedro Angel Castillo Valdivieso, Juan Julian Merelo Guervos and Carlos Cotta Porras A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms. Towards Energy-Aware Bioinspired Algorithms
Dirk Arnold An Active Set Evolution Strategy for Constrained Optimization with Known Constraints
Marco Baioletti, Alfredo Milani and Valentino Santucci An Extension of Algebraic Differential Evolution for the Linear Ordering Problem with Cumulative Costs
Nadarajen Veerapen, Gabriela Ochoa, Renato Tinós and Darrell Whitley Tunnelling Crossover Networks for the Asymmetric TSP
Duc-Cuong Dang, Per Kristian Lehre, Tobias Friedrich, Timo Koetzing, Martin S. Krejca, Pietro S. Oliveto, Dirk Sudholt and Andrew M. Sutton Emergence of Diversity and its Benefits for Crossover in Genetic Algorithms
Sebastian Herrmann, Gabriela Ochoa and Franz Rothlauf Coarse-Grained Barrier Trees of Fitness Landscapes
Erella Matalon-Eisenstadt, Amiram Moshaiov and Gideon Avigad The Competing Travelling Salespersons Problem under Multi-criteria
Benjamin Doerr, Carola Doerr and Timo Kötzing Provably Optimal Self-Adjusting Step Sizes for Multi-Valued Decision Variables
Zbyněk Pitra, Lukáš Bajer and Martin Holena Doubly Trained Evolution Control for the Surrogate CMA-ES
Stjepan Picek, Dominik Sisejkovic, Vladimir Rozic, Bohan Yang, Nele Mentens and Domagoj Jakobovic Evolving Cryptographic Pseudorandom Number Generators
Simon Wessing, Günter Rudolph and Dino Menges Comparing Asynchronous and Synchronous Parallelization of the SMS-EMOA
Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André Deutz, Heike Trautmannand Michael Emmerich Towards Analyzing Multimodality of Multiobjective Landscapes
Davy Smith, Laurissa Tokarchuk and Geraint Wiggins Rapid Phenotypic Landscape Exploration through Hierarchical Spatial Partitioning
Martin Zaefferer and Thomas Bartz-Beielstein Efficient Global Optimization with Indefinite Kernels
Nathaniel Powell and Josh Bongard Exploring Uncertainty and Movement in Categorical Perception using Robots
Rodica Ioana Lung, Mihai Suciu, Regina Meszlényi, Krisztian Buza and Noémi Gaskó Community structure detection for the functional connectivity networks of the brain
Edgar Manoatl Lopez and Carlos Coello Coello A Parallel Multi-Objective Memetic Algorithm based on the IGD+ Indicator
Edgar Galvan-Lopez, Efren Mezura-Montes, Ouassim Ait Elhara and Marc Schoenauer On the Use of Semantics in Multi-Objective Genetic Programming
Christopher Jankee, Sébastien Verel, Bilel Derbel and Cyril Fonlupt A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods
Eleonore Vissol-Gaudin, Apostolos Kotsialos, Dagou Zeze, Christopher Pearson, Kieran Massey, Michael Petty and Christopher Groves Data Classification using Carbon-Nanotubes and Evolutionary Algorithms
Vesa Ojalehto, Dmitry Podkopaev and Kaisa Miettinen Towards automatic testing of reference point-based interactive methods
Andreas Steyven, Emma Hart and Ben Paechter Understanding environmental influence in an open-ended evolutionary algorithm
Dušan Hrabec, Pavel Popela and Jan Roupec WS Network Design Problem with Nonlinear Pricing Solved by Hybrid Algorithm
Rafael Nogueras and Carlos Cotta A Study of the Performance of Self-* Memetic Algorithms on Heterogeneous Ephemeral Environments
David Walker and Ed Keedwell Towards Many-objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators
Khulood Alyahya and Jonathan Rowe Simple Random Sampling Estimation of the Number of Local Optima
Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das and Joshua Bongard Semantic Forward Propagation for Symbolic Regression
Luiz Otavio V. B. Oliveira, Luis Fernando Miranda, Gisele L. Pappa, Fernando E. B. Otero and Ricardo H. C. Takahashi Reducing Dimensionality to Improve Search in Semantic Genetic Programming
Justin Kelly and Christian Jacob evoVision3D: A Multiscale Visualization of Evolutionary Histories
Thomas Jansen and Christine Zarges Example Landscapes to Support Analysis of Multimodal Optimisation
Francisco Manfrini, Heder Bernardino and Helio Barbosa A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits
Raquel Hernández, Carlos A. Coello and Enrique Alba A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems
Claudia Correa, Elizabeth Wanner and Carlos Fonseca Lyapunov design of a simple step-size adaptation strategy based on success
Dídac Rodríguez Arbonès, Nataliia Y. Sergiienko, Boyin Ding and Markus Wagner Fast and Effective Multi-Objective Optimisation of Submerged Wave Energy Converters
Borys Wrobel Evolution of spiking neural networks robust to noise and damage for control of simple animats
Luis Martí, Arsene Fansi, Laurent Navarro and Marc Schoenauer Anomaly Detection with the Voronoi Diagram Artificial Immune System
Hisao Ishibuchi, Ken Doi and Yusuke Nojima Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D
Sam Kriegman, Marcin Szubert, Josh Bongard and Christian Skalka Evolving Spatially Aggregated Features From Satellite Imagery for Regional Modeling
Duc-Cuong Dang and Per Kristian Lehre Self-adaptation of Mutation Rates in Non-elitist Populations
Andreia Guerreiro and Carlos Fonseca Hypervolume Sharpe Ratio Indicator: Formalization and First Theoretical Results
Benjamin Doerr, Carola Doerr and Jing Yang $k$-Bit Mutation with Self-Adjusting $k$ Outperforms Standard Bit Mutation
Van Loi Cao, Miguel Nicolau and James McDermott A novel approach for anomaly detetction based on estimating density from hidden layer of Autoencoder
Eric O. Scott and Kenneth A. De Jong Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise
Eduardo Lalla-Ruiz, Eduardo Segredo, Stefan Voß, Emma Hart and Ben Paechter Analysing the performance of multi-leader migrating birds optimisation for global continuous problems
Ryan Urbanowicz, Jason Moore and Randal Olson Pareto inspired multi-objective rule fitness for adaptive rule-based machine learning