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
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
Detailed program: Monday, June 21t
Detailed program: Tuesday, June 22th
Detailed program: Wednesday, June 23th
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 |
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
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
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
·
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