21-23 June 2021, Catania, Italia

 

 

 

Program


 

OLA’2021 is organized by


·        University of Catania (Italy)

·        University of Lille (France)


Conference chairs

Conference program chairs

Conference steering committee chair

Organization committee

 Publicity chair 

 Program committee


Invited keynote

 

1.     Machine learning and combinatorial optimization: some possible catalytic effects

Prof. Vittorio Maniezzo (Universiy of Bologna, Italy)

2.     Learning and decision making and insect brain inspired computational models

 

Prof. Paolo Arena  (Universiy of Catania, Italy) and Luca Patané (Universiy of Messina, Italy)

 

 


 

 

 

Contents

                                         

Invited keynote. 3

June 21th. 5

June 22th. 6

June 23th. 7

Detailed program: Monday, June 21t 8

Detailed program: Tuesday, June 22th 9

Detailed program: Wednesday, June 23th 12

 


Program at a glance

 

 

June 21th

9h15

Opening (Dr. M. Pavone & Prof. E-G. Talbi)

9h30

Session Optimization for learning

(chair: Prof. E-G. Talbi)

10h50

Break

11h20

 

Invited keynote (chair: M. Pavone)

Machine learning and combinatorial optimization: some possible catalytic effects

Prof. Vittorio Maniezzo (Universiy of Bologna, Italy)

12h20

Lunch

14h00

Session Transportation and routing

(chair: T. Arbaoui)

15h20

                                                           Break

15h50

Session Engineering applications

(chair: R. Ellaia)

 


 

 

June 22th

9h30

Session Deep learning

(chair: Dr. A. Nakib)

10h50

Break

 

 11h20

 

Invited keynote (chair: M. Pavone)

Learning and decision making and insect brain inspired computational models

 

Prof. Paolo Arena (Universiy of Catania, Italy) &

Luca Patané (Universiy of Messina, Italy)

 

 

12h20

Lunch

14h00

Session Learning and optimization

(chair: Dr. B. Dorronsoro)

 

15h20

Break

15h50

Session Logistics & planning

(chair: L. Amodeo)

17h10

End of Session

 


 

 

June 23th

 

9h30

Session Learning for optimization (chair: Prof. N. Melab)

10h50

Break

 

 11h20

 

Session Learning and optimization  (chair: Prof. B. Dorronsoro)

12h20

Lunch

14h00

Session Scheduling and constraints

(chair: Prof. F. Yalaoui)

 

Recorded presentations (available on web site)

 

17h10

End of conference

 

 

 

 


 

Detailed program: Monday, June 21t

 

9h15 - 9h30 Link Opening Session

      

Prof. Dr. Mario Pavone (Italy) & Prof. El-Ghazali Talbi (France)

 

 

9h30 - 10h50

 

Link - Session Optimization for learning (chair: Prof. E-G. Talbi)

·        Embedding Simulated Annealing within Stochastic Gradient Descent
Matteo Fischetti, Stringher Matteo

·        A semi-infinite optimization approach to shape-constrained regression
Jochen Schmid, Martin Kurnatowski, Patrick Link, Lukas Morand, Jan Schwientek

·        Comparing local search initialization for k-means and k-medoids clustering in a planar Pareto Front, a computational study
Jiangnan Huang, Chen Zixi, Nicolas Dupin

·        A Recommendation System for Efficient PEH Bus Operation Based on Unsupervised Machine Learning
Patricia Ruiz, Juan Carlos de la Torre, Renzo Massobrio, Pablo Moreno, Marcin Seredynski, Bernabe Dorronsoro

·        Improved SAT models for NFA learning
Frédéric Lardeux, Eric Monfroy


 

10h50 - 11h20 – Break

 

 

11h20 - 12h20

 

Link - Invited Keynote

(chair: Dr. M. Pavone)

Machine learning and combinatorial optimization: some possible catalytic effects

Prof. Vittorio Maniezzo (Universiy of Bologna, Italy)

 

12h20 - 14h00             BREAK

 

 


 

14h00 - 15h20

Link - Session Transportation and routing (chair: Prof. T. Arbaoui)

·        Multiple-tour constrained optimization for waste sites inspections
Francesco Nebula, Francesco Gargiulo, Gabriella Gigante, Domenico Pascarella, Luca Cicala

·        Solving Inventory Routing Problems
Danny Meier, Benjamin Keller, Markus Kolb, Thomas Hanne

·        Iterated Local Search with Neighbourhood Reduction for the Pickups and Deliveries Problem Arising in Retail Industry
Hanyu Gu, Zhang Yefei, Yakov Zinder

·        A stochastic and dynamic approach for the one-commodity pickup & delivery travelling salesman problem
Seddik Hadjadj, Hamamache Kheddouci

·        Mobile Clinics Routing in Response to Covid-19 Outbreak: An Intelligent Hyperheuristic Approach
Kassem Danach, Jomana Al Haj Hassan, Abbas Tarhini, Shahin Gelareh

15h50 - 16h20 – Break

16h20 - 17h40

Link - Session Engineering optimization (chair: Prof. R. Ellaia)

·        Multi-Objective Optimization Model for Sustainable Urban Transportation Ensuring the Quality of Service
David Peña Morales, Patricia Ruiz, Andrei Tchernykh, Bernabe Dorronsoro

·        Towards a hybrid positioning approach for IoT-based smart factories
Andrés Millán-Alcaide, Angel Ruiz-Zafra, Guadalupe Ortiz

·        An Application of BnB-NSGAII: Initializing NSGAII to Solve 3 Stage Reducer Problem
Ahmed JABER, Pascal LAFON, Rafic YOUNES

·        Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines using Multi-Criteria Decision Analysis
Takfarinas SABER, Anthony Ventresque, Malika Bendechache

·        The horizontal linear complementarity problem and robustness of the related matrix classes
Milan Hladík, Miroslav Rada

 

 

 

Detailed program: Tuesday, June 22th

9h30-10h50

 

Link - Session Deep Learning (chair: Dr. Amir Nakib)

·        Robustness of Adversarial Images against Filters
Raluca Chitic, Nathan Deridder, Franck Leprevost, Nicolas Bernard

·        Guiding Representation Learning in Deep Generative Models with Policy Gradients
Luca Lach, Timo Korthals, Francesco Ferro, Malte Schilling, Helge Ritter

·        FFCNN: Fast FPGA based Acceleration for Convolution neural network inference
Amir Nakib


10h50 – 11h20 – Break

11h20-12h20

Link - Invited Keynote

(chair: Dr. M. Pavone)

Learning and decision making and insect brain inspired computational models

Prof. Paolo Arena and Luca Patané (University of Catania, Italy)

 


12h20 - 14h00             BREAK


 

14h00 – 15h20

Link - Session Learning and optimization  (chair: Dr. B. Dorronsoro)

·        Neighborhood Enumeration in Local Search Metaheuristics
Michiel Van Lancker, Greet Vanden Berghe, Tony Wauters

·        A Bayesian Optimisation Approach for Multidimensional Knapsack Problem
Hanyu Gu, Alireza Etminaniesfahani, Amir Salehipour

·        Bayesian Optimization with deceptive Gaussian Processes : How to maintain efficiency in the optimization process ?
Jérémy Sadet, El-Ghazali Talbi, Franck Massa, Thierry Tison, Isabelle Turpin

·        An Exploratory Analysis on a Disinformation Dataset
Matheus Marinho, Anthony Lins, Carmelo Bastos Filho

15h20 - 15h50 – Break

15h50 - 17h10


Link - Session Logistics and Planning (chair: Prof. L. Amodeo)

·        A genetic algorithm for the Three-dimensional Open Dimension Packing problem
Cong Tan Trinh Truong, Lionel Amodeo, Farouk Yalaoui

·        Formulation of a Layout-Agnostic Order Batching Problem
Johan Oxenstierna, Louis Janse van Rensburg, Volker Krueger, Jacek Malec

·        Theoretical analysis of a dynamic pricing problem with linear and isoelastic demand functions
Mourad Terzi, Alice Yalaoui, Yassine Ouazene, Farouk Yalaoui

·        Time-indexed formulations for the Order Acceptance Scheduling problem considering energy aspects with sequence-dependent setup-times
Mariam Bouzid, Oussama Masmoudi, Alice Yalaoui

·        A multi-objective approach for an energy-efficient buffer allocation
Yasmine Alaouchiche, Farouk Yalaoui, Yassine Ouazene

 


Detailed program: Wednesday, June 23th

9h30 - 10h30

 

Link - Session Learning for optimization (chair: Prof. N. Melab)

·        Reinforcement Learning for the Pick-up & Delivery Problem
Jacopo Pierotti, Theresia van Essen, Maximilian Kronmuller, Javier Mora, Wendelin Böhmer

·        Reinforcement Learning-Based Adaptive Operator Selection
Rafet Durgut, Mehmet Aydin

·        A Learning-based Iterated Local Search Algorithm for Solving the Traveling Salesman Problem
Maryam Karimi Mamaghan, Bastien Pasdeloup, Mehrdad Mohammadi, Patrick Meyer

·        Space Partitioning with multiple models for Parallel Bayesian Optimization
Maxime Gobert, Jan Gmys, Nouredine Melab, Daniel Tuyttens

 

10h30 – 11h – Break

11h00 - 12h00

Link - Session Learning and optimization  (chair: Prof. E-G. Talbi)

·        Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network
Andrei Tchernykh, Mikhail Babenko, Bernardo Pulido-Gaytan, Egor Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Nguyen Viet Hung, Jorge M. Cortés-Mendoza

·        Investigating Overlapped Strategies to Solve Overlapping Problems in a Cooperative Co-evolutionary Framework
Julien Blanchard, Charlotte Beauthier, Timoteo Carletti

·        Automatic Synthesis of Boolean Networks from Biological Knowledge and Data
Athénaïs Vaginay, Taha BOUKHOBZA, Malika Smaïl-Tabbone

·        Combination of Machine Learning and Optimization: A Survey of Recent Methods for Large Complex Problems
Oumayma Bahri, Lionel Amodeo





12h20 - 14h00             BREAK


 

14h00 – 15h20

Link - Session Scheduling and constraints (chair: Prof. F. Yalaoui)

·        Optimal demand response scheduling of a residential Microgrid
Mohamed Saâd EL HARRAB, Michel NAKHLA

·        A Hybrid Approach for Data-based Models Using a Least-squares Regression
Malin Lachmann, Christof Büskens

·        Rescheduling in textile industry : an unrelated parallel machines problem with setup times
Alice Berthier, Hicham Chehade, Alice Yalaoui, Farouk Yalaoui, Lionel Amodeo, Christian Bouillot

·        Simultaneous Lot Sizing and Scheduling Problem in Tire Industry : Eligibility Constraint Sensitivity Analysis
Cyril Koch, Taha Arbaoui, Yassine Ouazene, Farouk Yalaoui, Humbert De Brunier, Nicolas Jaunet

·        Mathematical model and metaheuristics for scheduling production processes in hospital catering
Fatima ABDERRABI, Matthieu Godichaud, Alice Yalaoui, Farouk Yalaoui, Lionel Amodeo, Ardian Qerimi

 

Recorded available presentations

·        Synthesis of scheduling heuristics by composition and recombination
Jan Winkels, Christin Schumacher, Dominik Mäckel

·        A comparison of Learnheuristics using different Reward Functions to solve the Set Covering Problem
Broderick Crawford, Ricardo Soto, Felipe Cisternas-Caneo, Diego Tapia, Hanns de la Fuente-Mella, Wenceslao Palma, José Lemus-Romani, Mauricio Castillo, Marcelo Becerra-Rozas

·        Deep Reinforcement Learning for Dynamic Pricing of Perishable Products
Vibhati burman, Rajesh Vashishtha, Rajan Kumar, Sharadha Ramanan

·        Time Series Prediction of Flow Field around a Two-Dimensional Cylinder Using Autoencoder and LSTM
Yusuke Yamada, Masahiro Kanazaki

·        Lift rise spots exploration of a yaw-wise rotational flap by enhanced-Kriging-based efficient global optimization
Kazuhisa CHIBA, Masahiro KANAZAKI

·        Solving QAP with Auto-parameterization in Parallel Hybrid Metaheuristics
Jonathan Duque, Danny Munera, Daniel Diaz, Salvador Abreu

·        A hybrid FLP-AHP approach for Optimal Product Mix in Pulp and Paper Industry
Meenu Singh, Millie Pant

·        The Multi-Objective Team Set Orienteering Problem
Houssem eddine Ben smida, Francisco Chicano, Saoussen Krichen