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4rd OLA 2021: Catania, Italy
- Bernabé Dorronsoro
, Lionel Amodeo
Optimization and Learning - 4th International Conference, OLA 2021, Catania, Italy, June 21-23, 2021, Proceedings. Communications in Computer and Information Science 1443, Springer 2021, ISBN 978-3-030-85671-7
Synergies Between Optimization and Learning
- Matteo Fischetti
Embedding Simulated Annealing within Stochastic Gradient Descent. 3-13 - Jiangnan Huang
Comparing Local Search Initialization for K-Means and K-Medoids Clustering in a Planar Pareto Front, a Computational Study. 14-28 - Rafet Durgut, Mehmet Emin Aydin
Reinforcement Learning-Based Adaptive Operator Selection. 29-41
Learning for Optimization
- Maryam Karimi Mamaghan
A Learning-Based Iterated Local Search Algorithm for Solving the Traveling Salesman Problem. 45-61 - Malin Lachmann
A Hybrid Approach for Data-Based Models Using a Least-Squares Regression. 62-73 - Broderick Crawford
A Comparison of Learnheuristics Using Different Reward Functions to Solve the Set Covering Problem. 74-85 - Hanyu Gu
A Bayesian Optimisation Approach for Multidimensional Knapsack Problem. 86-97
Machine Learning and Deep Learning
- Raluca Chitic
Robustness of Adversarial Images Against Filters. 101-114 - Luca Lach, Timo Korthals, Francesco Ferro, Helge J. Ritter, Malte Schilling
Guiding Representation Learning in Deep Generative Models with Policy Gradients. 115-131 - Vibhati Burman, Rajesh Kumar Vashishtha, Rajan Kumar, Sharadha Ramanan:
Deep Reinforcement Learning for Dynamic Pricing of Perishable Products. 132-143 - Matheus Marinho, Carmelo J. A. Bastos Filho, Anthony Lins
An Exploratory Analysis on a Disinformation Dataset. 144-155 - Athénaïs Vaginay
Automatic Synthesis of Boolean Networks from Biological Knowledge and Data. 156-170
Transportation and Logistics
- Danny Meier, Benjamin Keller, Markus Kolb, Thomas Hanne
Solving Inventory Routing Problems with the Gurobi Branch-and-Cut Algorithm. 173-189 - Hanyu Gu
Iterated Local Search with Neighbourhood Reduction for the Pickups and Deliveries Problem Arising in Retail Industry. 190-202 - Cong-Tan-Trinh Truong, Lionel Amodeo, Farouk Yalaoui:
A Genetic Algorithm for the Three-Dimensional Open Dimension Packing Problem. 203-215 - Johan Oxenstierna
Formulation of a Layout-Agnostic Order Batching Problem. 216-226
Optimization
- Michiel Van Lancker
Neighborhood Enumeration in Local Search Metaheuristics. 229-240 - Andrei Tchernykh
Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network. 241-253 - Julien Blanchard
Investigating Overlapped Strategies to Solve Overlapping Problems in a Cooperative Co-evolutionary Framework. 254-266 - Frédéric Lardeux
Improved SAT Models for NFA Learning. 267-279
Applications of Learning and Optimization Methods
- Dominik Mäckel
Synthesis of Scheduling Heuristics by Composition and Recombination. 283-293 - Jonathan Duque
Solving QAP with Auto-parameterization in Parallel Hybrid Metaheuristics. 294-309 - Mourad Terzi
Theoretical Analysis of a Dynamic Pricing Problem with Linear and Isoelastic Demand Functions. 310-323 - Meenu Singh, Millie Pant:
A Hybrid FLP-AHP Approach for Optimal Product Mix in Pulp and Paper Industry. 324-336 - Ahmed Jaber
An Application of BnB-NSGAII: Initializing NSGAII to Solve 3 Stage Reducer Problem. 337-349 - Milan Hladík
The Horizontal Linear Complementarity Problem and Robustness of the Related Matrix Classes. 350-360 - Takfarinas Saber
Incorporating User Preferences in Multi-objective Feature Selection in Software Product Lines Using Multi-Criteria Decision Analysis. 361-373
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