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ORCIDGECCO 2017: Berlin, Germany - Companion Material
- Peter A. N. Bosman:
Genetic and Evolutionary Computation Conference, Berlin, Germany, July 15-19, 2017, Companion Material Proceedings. ACM 2017, ISBN 978-1-4503-4939-0
Hot off the press
- Maxim Buzdalov, Benjamin Doerr, Mikhail Kever:
The unrestricted black-box complexity of jump functions. 1-2 - Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen
, Michael O'Neill:
Multilayer optimization of heterogeneous networks using grammatical genetic programming. 3-4 - Emma Hart, Kevin Sim:
On constructing ensembles for combinatorial optimisation. 5-6 - Krzysztof Michalak:
Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems. 7-8 - Maizura Mokhtar, Ian Hunt, Stephen Burns, Dave Ross:
Effective visualisation of the high-dimensional pareto-optimal solutions. 9-10 - Tanja Zerenner, Victor Venema, Petra Friederichs, Clemens Simmer:
Downscaling near-surface atmospheric fields with multi-objective genetic programming. 11-12
Late-breaking abstracts
- Saad Bougrine, Mohamed Amine El Majdouli, Abdelhakim Ameur El Imrani:
A novel iterative improvement pivoting rule for local search heuristics. 13-14 - Hao Chen, Chun Du, Jun Li, Ning Jing, Lingfeng Wang:
An approach of satellite periodic continuous observation task scheduling based on evolutionary computation. 15-16 - Matthew J. Craven, Simon P. Martin:
BBIOS: a characterization of evolutionary algorithm stability. 17-18 - Matthew J. Craven, David I. Graham:
Exploring the (efficient) frontiers of portfolio optimization. 19-20 - AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell:
Optimizing LSTM RNNs using ACO to predict turbine engine vibration. 21-22 - Jessica Finocchiaro, H. David Mathias:
Social trends in the iterated prisoner's dilemma. 23-24 - Hisashi Handa, Ryoichi Hasegawa:
Solving order/degree problems by using EDA-GK. 25-26 - Olfa Harrabi, Ezzeddine Fatnassi, Hend Bouziri, Jouhaina Chaouachi:
A bi-objective memetic algorithm proposal for solving the minimum sum coloring problem. 27-28 - Jeffrey Horn:
Solving a large sudoku by co-evolving numerals. 29-30 - Chihoon Jung, Rituparna Datta, Aviv Segev:
Multi-document summarization using evolutionary multi-objective optimization. 31-32 - Piotr Lipinski, Patryk Filipiak, Pawel Rychlikowski, Justyna Stanczyk, Joanna Kajewska-Szkudlarek, Janusz Lomotowski, Tomasz Konieczny:
Discovering weekly seasonality for water demand prediction using evolutionary algorithms. 33-34 - Minami Miyakawa, Hiroyuki Sato, Yuji Sato:
Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems. 35-36 - Yong-Wook Nam, Yong-Hyuk Kim:
Melody composition using geometric crossover for variable-length encoding. 37-38 - Rafael Nogueras, Carlos Cotta:
Evaluating island-based EAs on unstable networks with complex failure patterns. 39-40 - Zhigang Ren, An Chen, Lin Wang, Yongsheng Liang, Bei Pang:
An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems. 41-42 - Elizabeth Alma Mancera-Galván, Beatriz A. Garro, Katya Rodríguez-Vázquez:
Optimization of solid waste collection: two ACO approaches. 43-44 - Susanne Rosenthal, Markus Borschbach:
General aspect-based selection concept for multi- and many-objective molecular optimization. 45-46 - Kazuaki Tsuboi, Satoshi Suga, Satoshi Kurihara:
Hierarchical pattern mining based on swarm intelligence. 47-48
Ant colony optimization and swarm intelligence
- Houda Abadlia, Nadia Smairi, Khaled Ghédira:
Particle swarm optimization based on island models. 49-50 - Manel Hajjem, Hend Bouziri, El-Ghazali Talbi, Khaled Mellouli:
Parallel ant colony optimization for evacuation planning. 51-52
Complex systems (artificial life/artificial immune systems/robotics/evolvable hardware/generative and developmental systems)
- Collin Cappelle, Anton Bernatskiy, Josh C. Bongard:
Ecological modularity as a means to reduce necessary training environments in evolutionary robotics. 53-54 - David D. Fan, Evangelos A. Theodorou, John Reeder:
Evolving cost functions for model predictive control of multi-agent UAV combat swarms. 55-56 - Heather J. Goldsby, Rebecca L. Young, Hans A. Hofmann, Arend Hintze:
Increasing the complexity of solutions produced by an evolutionary developmental system. 57-58 - Ryan G. Goss, Geoff S. Nitschke:
Automated pattern identification and classification: anomaly detection case study. 59-60 - Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis:
Exploring divergence in soft robot evolution. 61-62 - Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk:
Is social learning more than parameter tuning? 63-64 - Milan Jelisavcic, Rafael Kiesel, Kyrre Glette, Evert Haasdijk, A. E. Eiben:
Benefits of lamarckian evolution for morphologically evolving robots. 65-66 - Joel Lehman:
Precomputation for rapid hypothesis generation in evolutionary robotics. 67-68 - Julian F. Miller, Dennis G. Wilson:
A developmental artificial neural network model for solving multiple problems. 69-70 - Rodrigo Moreno, Ceyue Liu, Andrés Faiña, Henry Hernández, Jonatan Gómez:
The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies. 71-72 - Ollin Peñaloza-Mejía, Eddie Clemente, Marlen Meza-Sánchez, Cynthia B. Pérez, Francisco Chávez de la O:
GP-based motion control design for the double-integrator system subject to velocity constraint. 73-74 - Alex C. Rollins, Jacob Schrum:
Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior. 75-76 - Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Evolutionary search for paths on protein energy landscapes. 77-78 - Pedro Trueba, Abraham Prieto, Francisco Bellas:
Embodied evolution versus cooperative coevolution in multi-robot optimization: a practical comparison. 79-80 - Jônata Tyska Carvalho, Stefano Nolfi:
Exploiting environmental differentiation to promote evolvability in artificial evolution. 81-82 - Melanie Däschinger, Andreas Knote, Sebastian von Mammen:
An evolutionary approach to behavioural morphometrics. 83-84
Digital entertainment technologies and arts
- Chad Adams, Hirav Parekh, Sushil J. Louis:
Procedural level design using an interactive cellular automata genetic algorithm. 85-86 - Mario García Valdez, José C. Romero, Alejandra Mancilla, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Gamification techniques in collaborative interactive evolutionary computation. 87-88 - Asuka Hisatomi, Hitomi Koba, Makoto Kamizono, Kazunori Mizuno, Satoshi Ono:
Escher-like tiling design using hierarchical optimization. 89-90 - Mihail Morosan, Riccardo Poli:
Speeding up genetic algorithm-based game balancing using fitness predictors. 91-92 - Andreas Precht Poulsen, Mark Thorhauge, Mikkel Hvilshj Funch, Sebastian Risi:
A deep learning / neuroevolution hybrid for visual control. 93-94 - Lisa B. Soros, Justin K. Pugh, Kenneth O. Stanley:
Voxelbuild: a minecraft-inspired domain for experiments in evolutionary creativity. 95-96 - Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret:
Comparing multimodal optimization and illumination. 97-98
Evolutionary combinatorial optimization and metaheuristics
- Hajer Ben-Romdhane, Enrique Alba, Saoussen Krichen:
A new evolutionary approach using pre-post testing to trigger exploration and exploitation in DOPs. 99-100 - J. R. Caldwell, Richard A. Watson:
How to get more from your model: the role of constructive selection in estimation of distribution algorithms. 101-102 - Omar Dib, Alexandre Caminada, Marie-Ange Manier, Laurent Moalic:
A memetic algorithm for computing multicriteria shortest paths in stochastic multimodal networks. 103-104 - Mehdi El Krari, Belaïd Ahiod, Bouazza El Benani:
A novel reduction algorithm for the generalized traveling salesman problem. 105-106 - Mohamed El Yafrani, Shelvin Chand, Aneta Neumann, Belaïd Ahiod, Markus Wagner:
Multi-objectiveness in the single-objective traveling thief problem. 107-108 - Marcin M. Komarnicki, Michal Witold Przewozniczek:
Parameter-less population pyramid with feedback. 109-110 - Mark Lawrenson, Tommaso Urli, Philip Kilby:
A model-based genetic algorithm framework for constrained optimisation problems. 111-112 - Rafaela Priscila Cruz Moreira, Elizabeth Fialho Wanner, Flávio Vinícius Cruzeiro Martins, João Fernando Machry Sarubbi:
The menu planning problem: a multiobjective approach for Brazilian schools context. 113-114 - Qi Qi, Thomas Weise, Bin Li:
Modeling optimization algorithm runtime behavior and its applications. 115-116 - Rafael de Santiago, Luís C. Lamb:
Efficient quantitative heuristics for graph clustering. 117-118 - William B. Yates, Edward C. Keedwell:
Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning. 119-120 - Yangming Zhou, Jin-Kao Hao:
A fast heuristic algorithm for the critical node problem. 121-122
Evolutionary machine learning
- Chedi Abdelkarim, Lilia Rejeb, Lamjed Ben Said, Maha Elarbi:
Evidential learning classifier system. 123-124 - Adis Alihodzic, Eva Tuba, Milan Tuba:
An upgraded bat algorithm for tuning extreme learning machines for data classification. 125-126 - Travis Desell:
Large scale evolution of convolutional neural networks using volunteer computing. 127-128 - Grant Dick:
Revisiting interval arithmetic for regression problems in genetic programming. 129-130 - Juan-Carlos Gomez, Stijn Hoskens, Marie-Francine Moens:
Evolutionary learning of meta-rules for text classification. 131-132 - Aashiq Parker, Geoff S. Nitschke:
Autonomous intersection driving with neuro-evolution. 133-134 - Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang:
Automated state feature learning for actor-critic reinforcement learning through NEAT. 135-136 - Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly:
cCube: a cloud microservices architecture for evolutionary machine learning classification. 137-138 - Jory Schossau, Larissa Albantakis, Arend Hintze:
The role of conditional independence in the evolution of intelligent systems. 139-140 - Yanyun Tao, Yuzhen Zhang, Qinyu Wang:
Low-power FSM synthesis using a fuzzy c-mean clustering-based decomposition. 141-142 - Ales Zamuda, Christine Zarges, Gregor Stiglic, Goran Hrovat:
Stability selection using a genetic algorithm and logistic linear regression on healthcare records. 143-144 - Jan Zegklitz, Petr Posík:
Linear combinations of features as leaf nodes in symbolic regression. 145-146
Evolutionary multiobjective optimization
- Daniel J. Couvertier, Erik D. Goodman, Kalyanmoy Deb:
Towards an epigenetics-inspired control system for power dispatch problem. 147-148 - Rotem Dror, Amir Kantor, Michael Masin, Segev Shlomov:
Set-SMAA for finding preferable multi-objective solutions. 149-150 - Yacine Kessaci:
A multi-objective continuous genetic algorithm for financial portfolio optimization problem. 151-152 - Margarita Markina, Maxim Buzdalov:
Hybridizing non-dominated sorting algorithms: divide-and-conquer meets best order sort. 153-154 - Krzysztof Michalak:
The MOEA/D algorithm with gaussian neighbourhoods for the multiobjective travelling salesman problem. 155-156 - Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang:
Multiple reference points MOEA/D for feature selection. 157-158 - Antonin Ponsich, Eric Alfredo Rincón García, Román Anselmo Mora Gutiérrez, Sergio de-los-Cobos-Silva, Miguel Angel Gutiérrez-Ándrade, Pedro Lara-Velázquez:
Solving electoral zone design problems with NSGA-II: application to redistricting in Mexico. 159-160 - Yuji Sato, Mikiko Sato, Minami Miyakawa:
Distributed NSGA-II with migration using compensation on many-core processors for improving performance and accuracy. 161-162 - Hiroyuki Sato, Minami Miyakawa, Keiki Takadama:
An improved MOEA/D utilizing variation angles for multi-objective optimization. 163-164
Evolutionary numerical optimization
- Rebeka Coric, Stjepan Picek, Domagoj Jakobovic, Carlos A. Coello Coello:
On the mutual information as a fitness landscape measure. 165-166 - Jing-Yu Ji, Wei-jie Yu, Jun Zhang:
A two-stage coevolution approach for constrained optimization. 167-168 - Benjamin Lacroix, Lee A. Christie, John A. W. McCall:
Interpolated continuous optimisation problems with tunable landscape features. 169-170 - Haiyan Liu, Yuping Wang, Liwen Liu, Xiaozhi Gao, Yiu-ming Cheung:
A new grouping strategy-based hybrid algorithm for large scale global optimization problems. 171-172 - Naoki Mori, Taku Hasegawa, Kento Tsukada, Keinosuke Matsumoto:
Analysis of scaling for fitness landscape learning evolutionary computation based on CMA-ES. 173-174 - Mario A. Muñoz, Kate Smith-Miles:
Non-parametric model of the space of continuous black-box optimization problems. 175-176 - Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena:
Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy. 177-178 - Edna Milgo, Nixon K. Ronoh, Peter Waiganjo, Bernard Manderick:
Adaptiveness of CMA based samplers. 179-180 - Alex Rothwell, Aldeida Aleti:
A computationally efficient gravitational search algorithm. 181-182 - Naoki Sakamoto, Youhei Akimoto:
Modified box constraint handling for the covariance matrix adaptation evolution strategy. 183-184
Genetic algorithms
- Khulood AlYahya, Kevin Anthony James Doherty, Jonathan E. Fieldsend, Ozgur E. Akman:
On the exploitation of search history and accumulative sampling in robust optimisation. 185-186 - Hayley Borck, Mark S. Boddy:
Automated case generation using a genetic algorithm. 187-188 - Sarit Chicotay, Eli (Omid) David, Nathan S. Netanyahu:
A two-phase genetic algorithm for image registration. 189-190 - Yashesh D. Dhebar, Kalyanmoy Deb:
A computationally fast multimodal optimization with push enabled genetic algorithm. 191-192 - Marcelo Fonseca Faraj, João Fernando Machry Sarubbi, Cristiano Maciel da Silva, Flávio Vinícius Cruzeiro Martins:
A hybrid genetic algorithm for deploying RSUs in VANETs based on inter-contact time. 193-194 - Alexandre Mayer:
A genetic algorithm with randomly shifted gray codes and local optimizations based on quadratic approximations of the fitness. 195-196 - Alireza Saleh Sedghpour, Amin Nikanjam:
Overlapping community detection in social networks using a quantum-based genetic algorithm. 197-198 - Keigo Tanaka, Youhei Akimoto:
Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic drift. 199-200
General evolutionary computation and hybrids
- Ana L. C. Bazzan:
Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions. 201-202 - Saúl Domínguez-Isidro, Efrén Mezura-Montes:
The baldwin effect on a memetic differential evolution for constrained numerical optimization problems. 203-204 - Amaury Hernandez-Aguila, Mario García Valdez, Juan Julián Merelo Guervós, Oscar Castillo:
Randomized parameter settings for a pool-based particle swarm optimization algorithm: a comparison between dynamic adaptation of parameters and randomized parameterization. 205-206 - Francia Jimenez, Claudio Sanhueza, Regina Berretta, Pablo Moscato:
A multi-objective approach for the (α, β)-k-feature set problem using memetic algorithms. 207-208 - Ning Ma, Xiao Fang Liu, Zhi-Hui Zhan, Jing-Hui Zhong, Jun Zhang:
Load balance aware distributed differential evolution for computationally expensive optimization problems. 209-210 - Pedro Mariano, Ziad Salem, Rob Mills, Payam Zahadat, Luís Correia, Thomas Schmickl:
Design choices for adapting bio-hybrid systems with evolutionary computation. 211-212 - Karl Mason, Jim Duggan, Enda Howley:
Neural network topology and weight optimization through neuro differential evolution. 213-214 - Abtin Nourmohammadzadeh, Sven Hartmann, Hui Ma:
A parallel hybrid GA-PSO approach with dynamic rule-based parameter setting. 215-216 - Qin-zhe Xiao, Jinghui Zhong, Wen-Neng Chen, Zhi-Hui Zhan, Jun Zhang:
Indicator-based multi-objective genetic programming for workflow scheduling problem. 217-218
Genetic programming
- Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Evolving texture image descriptors using a multitree genetic programming representation. 219-220 - Van Loi Cao, Miguel Nicolau, James McDermott:
Late-acceptance and step-counting hill-climbing GP for anomaly detection. 221-222 - Qi Chen, Mengjie Zhang, Bing Xue:
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. 223-224 - Tiantian Dou, Peter I. Rockett:
Semantic-based local search in multiobjective genetic programming. 225-226 - Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo:
Dynamic GP fitness cases in static and dynamic optimisation problems. 227-228 - Taku Hasegawa, Naoki Mori, Keinosuke Matsumoto:
Genetic programming with multi-layered population structure. 229-230 - Paul Kaufmann, Roman Kalkreuth:
An empirical study on the parametrization of cartesian genetic programming. 231-232 - Michael F. Korns:
Evolutionary linear discriminant analysis for multiclass classification problems. 233-234 - William B. Langdon:
Long-term evolution of genetic programming populations. 235-236