May 03-05, 2023
Malaga, Spain
Program
OLA’2023 is organized by
·
University
of Malaga (Spain) and University of Lille (France)
Conference chair
Conference program chair
Workshops / Invited
sessions chair
Conference steering committee chair
Finance chairs
Proceedings chair
Organization
committee
Publicity chair
Program committee
Special
sessions
1. Title: Reinforcement Learning and (multi-objective)
optimization
Organisers: Prof. Ann
Nowé (VUB Brussels, Belgium), Dr. Grégoire Danoy (University of
Luxembourg, Luxembourg)
2. Title: Optimisation and Learning in Energy Demand Site Management
Organisers: Prof. Dr. Gülgün KAYAKUTLU, Prof. Dr. M. Özgür Kayalica and Prof Dr. Üner Çolak (Istanbul
Technical University Energy Institute)
3. Title: Computational intelligence for smart cities
Organisers: Dr. Jamal
Toutouh (Universidad de Málaga, Spain), Dr. Christian Cintrano (Universidad de
Málaga, Spain), Dr. Sergio Nesmachnow and Dr. Renzo Massobrio (Universidad de la
República, Uruguay)
4. Title: Advanced methods for anomalies forecasting and
detection
Organisers: M. Pavone, F. Zito, C.
Cavallaro, V. Cutello (University of
Catania, Italy)
5. Title: Artificial intelligence for sustainability
Organisers: Dr.
Bernabe Dorronsoro (University of Cádiz, Spain), Juan Carlos De la Torre (University of Cádiz,
Spain), Jose Miguel Aragón (University
of Cádiz, Spain), and Javier Jareño (University
of Cádiz, Spain)
Keynote
name: Óscar Cordón
Affiliation: Andalusian Research Institute on Data Science
and Computational Intelligence (DaSCI)
Title: Artificial Intelligence for Forensic
Anthropology and Human Identification
Abstract: Skeleton-based forensic identification methods
carried out by anthropologists, odontologists, and pathologists represent the
first step in every human identification (ID) process and the victim’s
last chance for identification when DNA or fingerprints cannot be applied.
They include methods as biological profiling (BP), comparative radiography
(CR), craniofacial superimposition (CFS), and comparison of dental
records. BP involves the study of skeletal remains to find characteristic
traits (age, sex, stature, and ancestry) that support determining the identity
of the individual. It plays a crucial role in narrowing the range of
potential matches during the process of ID, prior to the corroboration by any
ID technique. CR considers the ante-mortem (AM) and post-mortem
(PM) comparison of different bones and cavities (skull frontal sinuses,
clavicles, patellae, …) which have been reported as useful for positive
identification based on their individuality and uniqueness. CFS aims to
overlay a skull with some AM images of a candidate in order to determine if
they correspond to the same person.
However,
practitioners still follow an observational paradigm using subjective methods
introduced many decades ago; namely, oral description and written documentation
of the findings obtained and the manual and visual comparison of AM and PM
data. Designing systematic, automatic ad trustworthy methods to support the
forensic anthropologist when applying BP, CFS and CR, avoiding the use of
subjective, error-prone and time-consuming manual procedures, is mandatory to
enhance forensic ID. The use of artificial intelligence, in particular
computational intelligence (evolutionary algorithms, fuzzy sets and deep
learning), computer vision (3D-2D image registration and image processing) and
explainable machine learning is a natural way to achieve this aim. This keynote
is devoted to present three intelligent systems for CFS, CR, and
skeleton-based age-at-death assessment developed in collaboration with the
University of Granada’s Physical Anthropology Lab within a fifteen years
long research project. One of those systems is protected by an international
patent, exploited by Panacea Cooperative Research, and is under
commercialization in different countries.
Bio:
Oscar Cordón was the Founder and a Leader of the Virtual Learning Center
(2001-05) and the Vice President of Digital University (2015-19) with the
University of Granada (UGR). He was one of the Founding Researchers with
the European Centre for Soft Computing (2006-11), being contracted as
Distinguished Affiliated Researcher until December 2015. He is currently a
Professor with the UGR. He has been, for >25 years, an internationally
recognized contributor to Research and Development Programs in fundamentals and
real-world applications of computational intelligence. He has published
>380 peer-reviewed scientific publications, including a research book on
Genetic Fuzzy Systems (with >1400 citations in Google Scholar) and 112
JCR-SCI-indexed journal papers (68 in Q1 and 38 in D1), advised 19 Ph.D.
dissertations, and coordinated 37 research projects and contracts (with an
overall amount of >9M€). From May 2021, his publications had received 5422
citations (H-index=39), being included in the 1% of most-cited researchers
in the world (source: Web of Science), with 14687 citations and H-index=58 in
Google Scholar. He also has a granted international patent on an
intelligent system for forensic identification commercialized in Mexico and
South Africa.
He received the UGR
Young Researcher Career Award (2004), the IEEE Computational Intelligence
Society (CIS) Outstanding Early Career Award (2011, the first such award
conferred), the IFSA Award for Outstanding Applications of Fuzzy
Technology (2011), the National Award on Computer Science ARITMEL by the
Spanish Computer Science Scientific Society (2014), the IEEE
Fellow (2018), and the IFSA Fellowship (2019). He was a member of the
High-Level Expert Group that developed the Spanish R+D Strategy for Artificial
Intelligence by the Spanish Ministry of Science, Innovation and
Universities (2018-19). He is currently or was Associate Editor of 19
international journals. He was recognized as an Outstanding Associate Editor of
IEEE Transactions on Fuzzy Systems (2008) and of IEEE Transactions on
Evolutionary Computation (2019). Since 2004, he has taken many different
representative positions with EUSFLAT and the IEEE
Computational Intelligence Society.
His current research lines are on artificial intelligence for forensic
identification (with the UGR Physical Anthropology lab and several
international forensic labs and security forces) and agent-based modeling
and social network analysis for marketing (with R0D Brand Consultants in
projects for CAPSA, Mercedes, Jaguar-Land Rover, El Corte Inglés, Telefónica,
Samsung, Coca Cola Europe, Cola Cao, WiZink, …).
Wednesday, May 3rd
|
8h30 |
Registration |
|
|
9h15 |
Room “Salon de actos” Opening (Prof. F. Chicano
& Prof. E-G. Talbi) |
|
|
9h30 |
Room “Salon de actos” Session Optimization and Learning (chair: F. Chicano) |
Room “Sala de Juntas” Session Multi-objective and Bi-level Optimization (chair: A. Nebro) |
|
10h50 |
Coffee Break |
|
|
11h20 |
Room “Salon de actos” Session Deep Learning (chair: A. Nakib) |
Room “Sala de Juntas” Session Optimization and Learning under Uncertainty (chair: T. Arbaoui) |
Thursday, May 4th
|
9h30 |
Room “Salon de actos” Session Reinforcement Learning (chair: G. Danoy) |
Room “Sala de Juntas” Session Logistics and Transportation (chair: L.
Amodeo) |
|
10h50 |
Coffee Break |
|
|
11h20 |
Hall Poster presentations session |
|
|
12h00 |
Room “Salon de actos” Invited keynote (chair: G. Danoy) Title: Recent Research on
"Construct, Merge, Solve & Adapt" Prof. Christian Blum Spanish National Research Council, Spain |
|
|
13h00 |
Free time |
|
|
20h00 |
Banquet |
|
Friday, May 5th
|
9h30 |
Room “Salon
de actos” Session Advanced Optimization (chair: R.
Ellaia) |
Room “Sala de Juntas” Session Learning for Optimization (chair: J. Toutouh) |
|
10h50 |
Coffee break |
|
|
11h20 |
Room “Salon de actos” Session Machine Learning (chair: H.
Kheddouci) |
Room “Sala de Juntas” Session Parallel Optimization and Software (chair: N. Melab) |
|
12h40 |
Conference closing |
|
8h30 - 9h15 Registration
9h15 - 9h30 Opening Session Room
“Salon de actos”
Prof. Dr. Francisco Chicano (Spain) & Prof. El-Ghazali Talbi (France)
9h30 - 10h50 Room “Salon de
actos”
Session Optimization
and learning (chair: Prof. F. Chicano)
·
Dichotomic Search for
Biobjective PINN and Neural Network Training
Fabian Heldmann, Kathrin Klamroth
·
Partial k-means to avoid
outliers, mathematical programming formulations, complexity results
Nicolas Dupin, Frank Nielsen
·
Real-time elastic
partial shape matching using a neural network-based adjoint method
Alban ODOT, Guillaume Mestdagh, Yannick Privat,
Stéphane Cotin
·
We won' t get fooled again: when performance metric
malfunction affects the landscape of hyperparameter optimization problems
René Traoré, Andrés Camero, Xiao
Xiang Zhu
9h30 – 10h50 Room “Sala de
Juntas”
Session Multi-objective
and bilevel optimization (chair: Prof. A. Nebro)
·
Solving a
Multi-Objective Job Shop Scheduling Problem With an Automatically Configured
Evolutionary Algorithm
Jesus Para, Javier Del Ser, Antonio J. Nebro
·
Multi-objective
optimization of adhesive bonding process in constrained and noisy settings
Alejandro Morales Hernández, Inneke Van Nieuwenhuyse,
Sebastian Rojas Gonzales, Jeroen Jordens, Maarten Witters,
Bart Van Doninck
·
Bilevel optimization
based Meta-label correction for car damage classification
Amir Nakib, Sofiane Mallem
·
Optimisation of
Pricing Strategies with Fairness and Business Ethics
Lakshmi Lineshah, Sunil Vadera
10h50 – 11h20 – Coffee break
11h20 - 12h40 Room “Salon de
actos”
Session Deep
learning (chair: Prof. A. Nakib)
·
Bayesian optimization
for NAS with pretrained deep ensembles
Houssem Ouertatani, Cristian Maxim, El-Ghazali Talbi,
Smail NIAR
·
Evolutionary data
distillation for large image size datasets
Nadiya Shvai, Arcadi Llanza, Amir Nakib
·
A split-training
approach to JoVe-FL
Maria Hartmann, Gregoire Danoy, Mohammed Alswaitti,
Pascal Bouvry
·
Latent Space Boosting
Vanya Aziz, Ivo Nowak, Ouyang Wu,
Jan Kronqvist, Eligius María Theodorus Hendrix
11h20
- 13h00 Room
“Sala de Juntas”
Session Optimization
and learning under uncertainty (chair: T. Arbaoui)
·
Interactive Job
Scheduling with Partially Known Personnel Availabilities
Johannes Varga, Günther R. Raidl, Elina Rönnberg,
Tobias Rodemann
·
Optimization of Fuzzy
C-Means with Alternating Direction Method of Multipliers
Benoit Albert, Violaine Antoine, Jonas Koko
·
A stochastic model
for a multi-echelon disassembly lot-sizing problem under random lead times
Ilhem SLAMA, Simon Thevenin, Oussama Ben-ammar,
Alexandre Dolgui
Predictive
maintenance for wind farm failure detection: Strategies for Addressing the Cold
Start Problem
·
Failure type
detection and predictive maintenance for the next generation of imaging
atmospheric Cherenkov telescopes
Federico Incardona, Alessandro Costa, Kevin Munari
9h30 - 10h50 Room “Salon de
actos”
Session Reinforcement
learning (chair: Prof. G. Danoy)
·
Graph Reinforcement
Learning for Operator Selection in the ALNS Metaheuristic
Syu-Ning Johnn, Victor-Alexandru Darvariu, Julia Handl,
Joerg Kalcsics
·
Multi-Armed
Bandit-based Metaheuristic Operator Selection: The Pendulum Algorithm
binarization case
Pablo Abrego-Calderon, Broderick Crawford, Ricardo Soto,
Eduardo Rodriguez-Tello, Felipe Cisternas-Caneo, Eric Monfroy, Giovanni Giachetti
·
Reinforcement
learning algorithms in an online EVCS problem with photovoltaic panels
Rémi Gauchotte, Ammar Oulamara, Mounir Ghogho,
Mustapha Oudani
·
CrazyRL : A
Multi-Agent Reinforcement Learning library for flying Crazyflie drones
Florian Felten, Pierre-Yves Houitte, El-Ghazali Talbi,
Grégoire Danoy
9h30 - 10h50 Room “Sala de
Juntas”
Session Logistics
and transportation (chair: Prof. L. Amodeo)
·
E-scooters Routes
Potential: Open Data Analysis in Current Infrastructure. Malaga Case
Diego Daniel Pedroza-Perez, Jamal Toutouh, Gabriel Luque
·
Robot-Assisted
Delivery problems and their Solutions
Abdullahi Mohammed Jingi, Xinan Yang
·
Adaptative local search for a pickup and delivery
problem applied to large parcel distribution
Matthieu Fagot, Laure Brisoux Devendeville, Corinne Lucet
·
The
p-median problem with coverage constraints: an application for public service
design
Felipe Albuquerque, Rosa Figueiredo, Cyrille Genre-Grandpierre
10h50 – 11h20 - Coffee break
11h20 – 12h00 Hall
- Poster presentations
session
12h00 – 13h00 Room “Salon de
actos”
Invited
keynote (chair: G. Danoy)
Title: Recent Research on "Construct, Merge, Solve &
Adapt"
Prof. Christian
Blum (CSIC, Spain)
9h30 - 10h50 Room “Salon de
actos”
Session Advanced
optimization (chair: Prof. R. Ellaia)
·
Comparing fractal
decomposition based algorithms
Thomas Firmin, El-Ghazali Talbi
·
Impact of
mixed-variable management by probability features in an Evolutionary Algorithm
Sylvério Pool Marquez, Caroline Sainvitu,
Charlotte Beauthier, Annick Sartenaer
·
Initial Insight into
Influence of Different Implementations of the Same Algorithm to the Quality in
Numerical Optimization
Peter Korošec, Tina Ručigaj Korošec, Jurij Šilc
·
Diagonal
Barzilai-Borwein rules in stochastic gradient-like methods
Giorgia Franchini, Federica Porta, Valeria Ruggiero,
Ilaria Trombini, Luca Zanni (video online)
9h30 - 10h50 Room “Sala de
Juntas”
Session Learning
for optimization (chair: Dr. J. Toutouh)
· Polynomial-Model-Based Optimization
Janina Schreiber,
Michael Hecht, Damar Wicaksono
·
Evaluating Surrogate
Models for Robot Swarm Simulations
Daniel H. Stolfi,
Gregoire Danoy
·
Is tuning worth the
effort? A case study on simulated annealing for parallel machine scheduling
problems
Mohamed Elamine Athmani, Younes Mimene, Taha Arbaoui,
Farouk Yalaoui
·
A self-learning
matheuristic for occasional drivers absenteeism mitigation in last mile
delivery
Simona Mancini, Margaretha Gansterer, Chefi Triki
10h50 – 11h20 – Coffee break
11h20 - 12h40 Room “Salon de
actos”
Session Machine
learning (chair: Prof. H. Kheddouci)
·
Deep Spiking Neural Network for object tracking
Fernando Quintana-Velazquez, M.P. Guerrero-Lebrero,
F. Perez-Peña, P.L. Galindo, Elisa Guerrero
·
Time Series Forecasting for Parking Occupancy: Case
Study of Malaga and Birmingham Cities
José Ángel Morell, Zakaria Abdelmoiz Dahi,
Francisco Chicano, Gabriel Luque, Enrique Alba
·
Modeling and analysis of organizational network
analysis graphs based on employee data
Abdel-Rahmen Korichi, Hamamache Kheddouci,
Taha Tehseen
·
A Fast Methodology to Find Decisively Strong
Association Rules (DSR) by Mining Datasets of Security Records
Claudia Cavallaro, Vincenzo Cutello, Mario
F. Pavone, Francesco Zito
·
An optimization
approach for optimizing PRIM's randomly generated rules using the Genetic
Algorithm (video on the web site)
Rym Nassih, Abdelaziz Berrado
11h20
- 12h40 Room
“Sala de Juntas”
Session Parallel
Optimization and Software (chair: Prof. N. Melab)
·
Challenges in
Automatic Software Optimisation: the energy efficiency case
Tobias Fischbach, Emmanuel Kieffer, Bouvry Pascal
·
Characterization and
categorization of software programs on x86 architectures
Javier Jareño, Juan Carlos de la Torre, Bernabé Dorronsoro
·
Productivity-aware
Parallel Distributed Tree-Search for Exact Optimization
Guillaume Helbecque, Jan Gmys, Nouredine Melab,
Tiago Carneiro, Pascal Bouvry
·
Benchmarking parallel optimization methods for
calibration of large-scale dynamic models in systems biology
David R.
Penas, Stephan Grein, Daniel Weindl, Julio R. Banga,
Jan Hasenauer
Poster
presentations
·
A New Automated Customer Prioritization Method, Amira
Ben Hadid, Hamamache Kheddouci, Seddik Hadjadj
·
A hierarchical
Cooperative Coevolutionary approach to solve Very Large-scale
Traveling Salesman Problem, Zhong RUI, Zhang Enzhi, Munetomo Masaharu
·
An Application of Machine Learning Tools to Predict
the Number of Solutions for a Minimum Cardinality Set Covering Problem, Brooks Emerick, Myung Soon Song, Yun Lu, Francis Vasko
·
Application of Artificial Intelligence in Ecological
Modeling for Olive Leaf Panels, Gokce Ozden-Gurcan, Antonio Ferrández-García,
Francisco Mata-Cabrera
·
Automatic Generation of Subtitles for Videos of the
Government of La Rioja, Gadea Mata, Mirari San Martín, Jónathan Heras
·
Binary Black Widow With Hill-Climbing Algorithm for
Feature Selection, Abdul-Rahman Mawlood-Yunis, Ahmed Al-Saedi
·
Mixing Data Augmentation Methods for Semantic
Segmentation, Rubén Escobedo, Jónathan Heras
·
Neural Network Information Leakage through Hidden
Learning, Arthur da Cunha, Emanuele Natale, Laurent Viennot
·
Reoptimizating neural networks for pollen
classification, Predrag Matavulj, Slobodan Jelic, Sanja Brdar, Milos
Radovanovic, Danijela Tesendic, Branko Sikoparija
·
Satellite Image Mosaic Combination Problem, Manuel
Combarro Simon, Gregoire Danoy, Jedrzej Musial, Andrey Tchernykh, Mohammed
Alswaitti, Johnatan Pecero, Pascal Bouvry
·
Solving the Nurse Scheduling Problem using the Whale
Optimization Algorithm, Mehdi Sadeghilalimi, Malek Mouhoub, Aymen Ben Said
·
Algorithm
Selection for Large-Scale Multi-objective Optimization
Mustafa MISIR, Xinye Cai
·
Trajectory planification and acquisition optimisation
of a Compton Camera Rover, Lopez Marius, Faicel Hnaien, Snoussi Hichem, Zied Hmissi,
Iltis Alain
·
How much substitutionability in rankings?
Ignacy Kaliszewski
·
Using Machine Learning to Optimize the Performance of
a Genetic Algorithm
Claudia Cavallaro, Vincenzo Cutello, Mario F. Pavone,
Francesco Zito
·
Estimation of the distribution of Body Mass Index
(BMI) with sparse and low-quality data. The case of the Chilean adult
population
Fernanda Suazo, Óscar Vásquez
·
Multi-objective
evolutionary algorithm for Bi-objective Composite Retrieval
Mauricio Moyano, Guillermo Cabrera-Guerrero, Nicolle Ojeda-Ortega
·
An artificial intelligence approach to characterize
from GWAS summary statistics the role of haplotypes in complex human diseases
Oscar Lao, Olga Dolgova,
Alba Nieto, Milagros Sanchez-Mayor, Urko Martinez Marigorta
·
Condition-based maintenance optimization under large
action space with deep reinforcement learning method
Peng Bi, Yi-Ping Fang,
Matthieu Roux, Anne Barros
OLA 2023 will
take place in the Rectorate of the University
of Málaga (UMA), a historical building close to the city center and the
touristic port.
C/ Bolivia, 26, 29018 Málaga
The Restaurant can be reached using bus
lines 3, 8, 11 and 34 (Bus stop 1111, Bolivia-Baños del Carmen).