May 13-15, 2023

Dubrovnik, Croatia

 

 

 

Program

 

OLA’2024 is organized by


·       RIT (Croatia) and University of Lille (France)

 

Conference chair

·       Dr. Martin Zagar (RIT, Croatia)

 

Conference program chair

 

Workshops / Invited sessions chair

 

Conference steering committee chair

 

Finance chairs

 

Proceedings chair

 

Organization committee

·       Mrs. Ivona Labas (RIT, Croatia)

 

Publicity chair 

 

 Program committee

 

 

 

Program at a glance

 

 

Monday, May 13rd

 

9h00

Room “1”

Registration

9h30

Room “11”

Opening (I. Labas & E-G. Talbi)

9h40

Room “11”

Session Deep Learning

(chair: A. Nakib)

 

Room “15”

Session Evolutionary and Swarm Algorithms

(chair: B. Dorronsoro)

 

11h00

 

Coffee Break & Poster presentations

Room “1”

 

11h30

Room “11”

Session Reinforcement Learning & Game Theory

(chair: F. Perotto)

 

 

Room “15”

Session Applications of Machine Learning

(chair: E. Monfroy)

 

 

 

 

 

Tuesday, May 14th

 

9h30

 

Room “11”

Session Multi-objective Optimization

(chair: B. Filipic)

 

Room “15”

Session Applications of Machine Learning

(chair: R. Ellaia)

 

10h50

 

Coffee break & Poster presentations

Room “1”

 

 

 

 11h30

 

Room “11”

Session Parallel Optimization

 (chair: N. Melab)

 

12h50

   Free time

 

19h00

Banquet – 7 pm

 

 

Wednesday, May 15th

9h50

 

Room “11”

Session Logistics and Transportation

 (chair: H. Kheddouci)

 

10h50

 

Coffee break & Poster presentations

Room “1”

 

 

 

 11h30

 

Room “11”

Session Learning for Optimization

(chair: A. Quilliot)

 

12h30

Conference closing

 

Detailed program: Monday, May 13rd

 

9h00 - 9h30   Registration

 

9h30 - 9h40  Opening Session Room “11”

      

Mrs. Ivona Labas (Croatia) & Prof. El-Ghazali Talbi (France)

 

 

 

9h40 – 11h00  Room “11”

Session Deep learning (chair: A. Nakib)

·       Neural Architecture Tuning: A BO-Powered NAS Tool
Houssem Ouertatani, Cristian Maxim, Smail Niar, El-Ghazali Talbi

·        NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming
Fergal Stapleton, Brendan Cody-Kenny, Edgar Galvan

·       A Benchmark for Missing Data Imputation Techniques: development perspectives and comparative of performance
Juan-Francisco Cabrera-Sánchez, Carlos Cruz-Corona, Andrés Yáñez Escolano, Esther-Lydia Silva-Ramírez

·        Through Optimal Vision Transformer architectures based on metaheuristics
Amir Nakib

 

9h40 – 11h00  Room “15”

Session Evolutionary and swarm algorithms (chair: B. Dorronsoro)

·       Automatic Software Performance Optimization using Genetic Algorithms
Jose Miguel Aragon-Jurado, Juan Carlos de la Torre, Patricia Ruiz, Bernabe Dorronsoro

·       Biologically-Inspired Algorithms for Adaptive Non-Player Character Behavior in Video Games
Sina Alizadeh, Malek Mouhoub

·       A Proposal of Evolutionary Hyperheuristics Ecosystem
Masaharu Munetomo, Haruki Shimizu, Rui Zhong

·       Nature-Inspired Techniques for Combinatorial Reverse Auctions in Electricity Consumption
Sifat Jahan, Malek Mouhoub, Mehdi Sadeghilalimi

 

11h00 – 11h30 – Coffee break & poster presentation – Room “1”

 

11h30 - 13h10  Room “11”

Session Reinforcement learning & game theory (chair: F. Perotto)

·       Approaching Single-Episode Survival Reinforcement Learning with Safety-Threshold Q-Learning
Filipo Perotto, Melvine Nargeot, Aymane Ouahbi

·       Tabu Tenure Policy with Deep Reinforcement Learning
Anna Konovalenko, Lars Magnus Hvattum, Swati Aggarwal

·       Evidence on the regularisation properties of Maximum-Entropy RL
Rémy Hosseinkhan Boucher, Onofrio Semeraro, Lionel Mathelin

·       Optimisation-based classification tree: A game theoretic approach to group fairness
Georgios I. Liapis, Lazaros G. Papageorgiou

·       Learning Estimators for Energy Management
Alain Quilliot

 


11h30 - 13h10  Room “15”

Session Applications of machine learning (chair: E. Monfroy)

·       Optimizing Object Detection Training Over Diverse Datasets
Pramit Dutta, Edgar Galvan, John McDonald

·       Feature Selection Based on Membrane Clustering
Sharmin Sultana Sheuly, Johannes Deivard, Tiberiu Seceleanu, Ning Xiong

·       Patient Visits Forecasting in the Post-Pandemic Era at Emergency Departments
Nicolas HAXAIRE, Farah Mourad-Chehade, Alice Yalaoui

·       Robust Models for Learning Languages
Tomasz Jastrząb, Frédéric Lardeux, Eric Monfroy

 

 

 

 

 

Detailed program: Tuesday, May 14th

9h30 - 10h50  Room “11”

 

Session Multi-objective optimization (chair: B. Filipic)

·       A Bayesian Optimization Approach to Algorithm Parameter Tuning in Constrained Multiobjective Optimization
Jordan Cork, Bogdan Filipic

·       Battery Management Strategies Optimization for Urban Plug-in Hybrid Buses
Patricia Ruiz, Jose Miguel Aragon-Jurado, Juan Francisco Cabrera, Juan Carlos de la Torre, Bernabe Dorronsoro

·       A Multi-objective Clustering Algorithm Integrating Intra-clustering and Inter-clustering Measures
Beatriz Flamia Azevedo, Ana Maria A. C. Rocha, Ana I. Pereira

·        A Multi-Objective Metaheuristic Applied to the Airborne Wind Energy Farm Layout Problem
Rui Carvalho da Costa, Luís A.C. Roque, Luís Tiago Paiva, Manuel C.R.M. Fernandes, Dalila B.M.M. Fontes, Fernando A.C.C. Fontes

 

9h30 - 10h50  Room “15”

 

Session Applications of machine learning (chair: R. Ellaia)

·        S3EA: A Self-Supervised Stacked Ensemble Framework for Robust Anomaly Detection to Reduce False Alarms
Sarala M Naidu, Ning Xiong

·       Machine Learning Applications in road safety: A Comprehensive Review
Ilyas Modni, Zoubida Chorfi, ABDELAZIZ BERRADO

·       HOTS : A containers resource allocation hybrid method using machine learning and optimization.
Etienne Leclercq, Jonathan Rivalan

·       JaxDecompiler: Redefining Gradient-Informed Software Design
Pierrick Pochelu

 

10h50 – 11h30  Coffee break & poster presentation – Room “1”

 

 

11h30 - 12h50  Room “11”

 

Session Parallel Optimization (chair: N. Melab)

·       A Parallel Surrogate Approach for High-Dimensional Constrained Optimization with Discrete Variables
Rommel Regis

·       Parallel Strategies for Iterative Kriging-Based Surrogate Model Optimization: Bayesian Inference in Engineering Simulations
Yunus Emre Sunay, Nilay Sezer-Uzol

·       A Parallel Genetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines
Jérôme Rouzé, Melab Nouredine, Daniel Tuyttens

·       GPU Computing in Chapel: Application to Tree-Search Algorithms
Guillaume Helbecque, Ezhilmathi Krishnasamy, Nouredine Melab, Pascal Bouvry

 

 

Detailed program: Wednesday, May 15th

 

9h50 - 10h50  Room “11”

 

Session Logistics and transportation (chair: H. Kheddouci)

·       The Capacitated Vehicle Routing Problem with Pickup and Delivery using Suppliers for single and multiple commodities
Damien Blanchard, Hamamache Kheddouci

·       Solving a shareable-setup time prize collection VRP applied to an electrical maintenance sector
Roberto Tavares, Arineia Nogueira, Mario Batalha, Roberto Martins, Herick Moralles, Rafael Seeberger, Gustavo Mendonca, Mauro Goncalves

·       A Constraint Programming Approach for the Preference Tourist Trip Design Problem
Stephanie Riff, Carlos Castro, Eric Monfroy

10h50 – 11h30 – Coffee break and poster presentations – Room “1”

11h30 - 12h30  Room “11”

 

Session Learning for optimization (chair: A. Quilliot)

·       An hybrid approach based on Graph Attention Network for the Team Orienteering Problem
Iván Guillermo Peña-Arenas, Rym Nesrine Guibadj, Cyril Fonlupt

·       Learning Insertion Patterns to Enhance Operational Efficiency in Large-Scale Dial-a-Ride Systems
Chijia LIU, Alain Quilliot, Hélène Toussaint, Dominique Feillet

·       Selecting the Most Relevant Objectives Using Data Mining: A Real-World Case Study
António Gaspar-Cunha, Wagner Galuppo, Miguel Nóbrega, Francisco Monaco, Alexandre Delbem

 

 

 

 

Video presentations

·       Adapted Q-learning for the Blocking Job Shop Scheduling Problem
Rihane Karima, Dabah Adel, AitZai Abdelhakim

 

·       On the Organization Network Analysis
Mohammed LALOU, KHEDDOUCI Hamamache

 

·       Benchmarking the operational efficiency of major container ports using machine learning and bootstrap DEA
Jose Humberto Ablanedo-Rosas

 

·       How is the objective function of the Feature Selection problem formulated?
Felipe Cisternas-Caneo, José Barrera, Broderick Crawford, Ricardo Soto, Mariam Gómez Sánchez, José Gomez-Pulido, Alberto Garces

 

·       Adaptive greedy heuristic algorithm for rubber tyred gantry crane scheduling problem at container terminal
Saber ben Zina

 

·       Optimization of Hydro Generation and Load Forecasting Based on LSTNet
Xingbang Du, Enzhi Zhang

 

·       Flexible Routing Strategies Based on Heuristic Approaches for Optimizing Last-Mile Delivery
Mohamed-Ali Ejjanfi, Jamal Benhra

 

 

·       Contribution to Forecasting Demand and Occupancy for Smart Lockers in the Context of Last-Mile Delivery
Mohamed-Ali Ejjanfi, Jamal Benhra, Hamza El kassimi El alaoui

 

·       Fractal Decomposition Algorithm with Bipartite Binarization
Marcelo Becerra-Rozas, Javier Peña, Thomas Firmin, Broderick Crawford, Ricardo Soto, El-Ghazali Talbi, Giovanni Giachetti

 

 

Poster presentations (A1 format)

·       Collaborative Smart Agriculture: Leveraging Technology and Community Partnerships to Improve Crop Yields and Sustainability- A Case Study
Dua Weraikat, Martin Zagar, Kristina Soric

·       Data-driven Learning for the Nurse Scheduling Problem
Aymen Ben Said, Malek Mouhoub

·       Advancing Road Safety Metrics: Exploring Index construction
EL KHALAI IBTISSAM, Zoubida Chorfi, ABDELAZIZ BERRADO

·       A Multi-Objective Approach for Assessing Environmental Responsibility in the Textile and Clothing Industry Supply Chain
Eric Papain MEZATIO, Mohammad Mohsen AGHELINEJAD, Lionel Amodeo, Isabelle Ferreira

 

Conference location

 

                 Don Frana Bulića 6, 20 000 Dubrovnik, Croatia

               

 

 

Banquet

Restaurent Dubravka

Brsalje no. 1, 20 000 Dubrovnik, Croatia