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ORCIDFabio Daolio
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2020 – today
- 2020
[j6]Arnaud Liefooghe
, Fabio Daolio, Sébastien Vérel, Bilel Derbel, Hernán E. Aguirre, Kiyoshi Tanaka:
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 24(6): 1063-1077 (2020)
2010 – 2019
- 2019
- [i11]Benjamin Paul Chamberlain, Stephen R. Hardwick, David R. Wardrope, Fabon Dzogang, Fabio Daolio, Saúl Vargas:
Scalable Hyperbolic Recommender Systems. CoRR abs/1902.08648 (2019) - 2018
- [c26]Ângelo Cardoso, Fabio Daolio, Saúl Vargas:
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products. KDD 2018: 80-89 - [c25]Sébastien Vérel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini:
Sampling Local Optima Networks of Large Combinatorial Search Spaces: The QAP Case. PPSN (2) 2018: 257-268 - [i10]Ângelo Cardoso, Fabio Daolio, Saúl Vargas:
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products. CoRR abs/1803.07679 (2018) - 2017
- [j5]Tze-Wei Yeoh, Fabio Daolio, Hernán E. Aguirre, Kiyoshi Tanaka:
On the effectiveness of feature selection methods for gait classification under different covariate factors. Appl. Soft Comput. 61: 42-57 (2017) - [j4]Fabio Daolio, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka:
Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes. Evol. Comput. 25(4) (2017) - [c24]Leticia Hernando, Fabio Daolio, Nadarajen Veerapen, Gabriela Ochoa:
Local Optima Networks of the Permutation Flowshop Scheduling Problem: Makespan vs. total flow time. CEC 2017: 1964-1971 - [c23]Gabriela Ochoa, Nadarajen Veerapen, Fabio Daolio, Marco Tomassini:
Understanding Phase Transitions with Local Optima Networks: Number Partitioning as a Case Study. EvoCOP 2017: 233-248 - [c22]Sarah L. Thomson, Fabio Daolio, Gabriela Ochoa:
Comparing communities of optima with funnels in combinatorial fitness landscapes. GECCO 2017: 377-384 - [c21]Eric Medvet, Fabio Daolio, Danny Tagliapietra:
Evolvability in grammatical evolution. GECCO 2017: 977-984 - [c20]Sarah L. Thomson, Gabriela Ochoa, Fabio Daolio, Nadarajen Veerapen:
The effect of landscape funnels in QAPLIB instances. GECCO (Companion) 2017: 1495-1500 - [c19]Nadarajen Veerapen, Fabio Daolio, Gabriela Ochoa:
Modelling genetic improvement landscapes with local optima networks. GECCO (Companion) 2017: 1543-1548 - [c18]Miyako Sagawa, Hernán E. Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel, Kiyoshi Tanaka:
Learning Variable Importance to Guide Recombination on Many-Objective Optimization. IIAI-AAI 2017: 874-879 - [c17]Jason Adair, Alexander E. I. Brownlee, Fabio Daolio, Gabriela Ochoa:
Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces. MOD 2017: 186-197 - 2016
- [c16]Rolando Armas, Hernán E. Aguirre, Fabio Daolio, Kiyoshi Tanaka:
Traffic signal optimization and coordination using neighborhood mutation. CEC 2016: 395-402 - [c15]Rolando Armas, Hernán E. Aguirre, Fabio Daolio, Kiyoshi Tanaka:
An effective EA for short term evolution with small population for traffic signal optimization. SSCI 2016: 1-8 - [c14]Miyako Sagawa, Hernán E. Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel, Kiyoshi Tanaka:
Learning variable importance to guide recombination. SSCI 2016: 1-7 - 2015
- [c13]Arnaud Liefooghe, Sébastien Vérel, Fabio Daolio, Hernán E. Aguirre, Kiyoshi Tanaka:
A Feature-Based Performance Analysis in Evolutionary Multiobjective Optimization. EMO (2) 2015: 95-109 - [c12]Fabio Daolio, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka:
Global vs Local Search on Multi-objective NK-Landscapes: Contrasting the Impact of Problem Features. GECCO 2015: 369-376 - [p2]Vitor H. P. Louzada, Fabio Daolio, Hans J. Herrmann, Marco Tomassini:
Generating Robust and Efficient Networks Under Targeted Attacks. Propagation Phenomena in Real World Networks 2015: 215-224 - 2014
- [c11]Riccardo Bonazzi, Fabio Daolio:
Spread like a virus. A model to assess the diffusion of dynamic ridesharing services. Bled eConference 2014: 5 - [c10]David Iclanzan, Fabio Daolio, Marco Tomassini:
Learning Inherent Networks from Stochastic Search Methods. EvoCOP 2014: 157-169 - [c9]David Iclanzan, Fabio Daolio, Marco Tomassini:
Data-driven local optima network characterization of QAPLIB instances. GECCO 2014: 453-460 - [i9]Gabriela Ochoa, Sébastien Vérel, Fabio Daolio, Marco Tomassini:
Local Optima Networks: A New Model of Combinatorial Fitness Landscapes. CoRR abs/1402.2959 (2014) - 2013
- [j3]Vitor H. P. Louzada, Fabio Daolio, Hans J. Herrmann, Marco Tomassini:
Smart rewiring for network robustness. J. Complex Networks 1(2): 150-159 (2013) - [c8]Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini:
Local Optima Networks of the Permutation Flow-Shop Problem. Artificial Evolution 2013: 41-52 - [p1]Marco Tomassini, Fabio Daolio:
A Complex-Networks View of Hard Combinatorial Search Spaces. EVOLVE 2013: 223-245 - [e1]Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser:
Adaptive and Natural Computing Algorithms, 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013. Proceedings. Lecture Notes in Computer Science 7824, Springer 2013, ISBN 978-3-642-37212-4 [contents] - [i8]Vitor H. P. Louzada, Fabio Daolio, Hans J. Herrmann, Marco Tomassini:
Smart Rewiring for Network Robustness. CoRR abs/1303.5269 (2013) - 2012
- [c7]Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini:
Local optima networks and the performance of iterated local search. GECCO 2012: 369-376 - [c6]Francisco Chicano, Fabio Daolio, Gabriela Ochoa, Sébastien Vérel, Marco Tomassini, Enrique Alba:
Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance. PPSN (2) 2012: 337-347 - [i7]Vitor H. P. Louzada, Fabio Daolio, Hans J. Herrmann, Marco Tomassini:
Generating Robust and Efficient Networks Under Targeted Attacks. CoRR abs/1207.1291 (2012) - [i6]Fabio Daolio, Marco Tomassini, Sébastien Vérel, Gabriela Ochoa:
Communities of Minima in Local Optima Networks of Combinatorial Spaces. CoRR abs/1207.4445 (2012) - [i5]Gabriela Ochoa, Sébastien Vérel, Fabio Daolio, Marco Tomassini:
Clustering of Local Optima in Combinatorial Fitness Landscapes. CoRR abs/1207.4632 (2012) - [i4]Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini:
Local optima networks and the performance of iterated local search. CoRR abs/1210.3946 (2012) - [i3]Francisco Chicano, Fabio Daolio, Gabriela Ochoa, Sébastien Vérel, Marco Tomassini, Enrique Alba:
Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance. CoRR abs/1210.4021 (2012) - 2011
- [j2]Luca Mussi, Fabio Daolio, Stefano Cagnoni:
Evaluation of parallel particle swarm optimization algorithms within the CUDA™ architecture. Inf. Sci. 181(20): 4642-4657 (2011) - [c5]Sébastien Vérel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini:
Local Optima Networks with Escape Edges. Artificial Evolution 2011: 49-60 - [c4]Pierre Buesser, Fabio Daolio, Marco Tomassini:
Optimizing the Robustness of Scale-Free Networks with Simulated Annealing. ICANNGA (2) 2011: 167-176 - [c3]Gabriela Ochoa, Sébastien Vérel, Fabio Daolio, Marco Tomassini:
Clustering of Local Optima in Combinatorial Fitness Landscapes. LION 2011: 454-457 - [i2]Fabio Daolio, Marco Tomassini, Konstantin Bitkov:
The Swiss Board Directors Network in 2009. CoRR abs/1106.5594 (2011) - [i1]Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini:
Local Optima Networks of the Quadratic Assignment Problem. CoRR abs/1107.4161 (2011) - 2010
- [j1]Luca Mussi, Stefano Cagnoni, Elena Cardarelli, Fabio Daolio, Paolo Medici, Pier Paolo Porta:
GPU implementation of a road sign detector based on particle swarm optimization. Evol. Intell. 3(3-4): 155-169 (2010) - [c2]Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini:
Local Optima Networks of the Quadratic Assignment Problem. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c1]Luca Mussi, Stefano Cagnoni, Fabio Daolio:
GPU-Based Road Sign Detection Using Particle Swarm Optimization. ISDA 2009: 152-157
Coauthor Index
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