Schedule of DSO WORKSHOP: FAIM2018

The workshop will take place on Saturday, 14 July, 9am-5pm.

8:00 – 8:30

Registration

8:30 – 10:00

Evaluation as a Service Architecture and Crowdsourced Problems Solving Implemented in Optil.io Platform
Szymon Wasik, Maciej Antczak, Jan Badura and Artur Laskowski

An Ontology-based Topic Evaluation Method for Enhancing Information Filtering
Hanh Nguyen, Yue Xu and Yuefeng Li

A Non-Stationary Markov Decision Model for Electricity Management
Oliver Pfante, Niklas Goby, Stefan Smolarek and Dirk Neumann

Towards Hybrid Constraint Solving with Reinforcement Learning and Constraint-Based Local Search
Helge Spieker and Arnaud Gotlieb

10:00 – 10:30

Coffee Break

10:30 – 11:30

Keynote lecture #1: Kate Smith-Miles
Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites

11:30 – 12:00

Combining Optimization and Data Science: A Metaheuristic Development Framework
Pieter Leyman and Patrick De Causmaecker

12:00 – 14:00

Lunch Break

14:00 – 15:00

Keynote lecture #2: Luc De Raedt
Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites

15:00 – 15:30

Automating Personnel Rostering by Learning Constraints Using Tensors
Mohit Kumar, Stefano Teso and Luc De Raedt

15:30 – 16:00

Coffee Break

16:00 – 16:50

Learning-based Dynamic Single-machine Scheduling with Time Windows and Inventory Constraints
Chao Li, Yingwu Chen, Lining Xing and Patrick De Causmaecker

Machine Learning Approaches for Flow Shop Scheduling Problems with Alternative Resources, Sequence-dependent Setup Times and Blocking
Frank Benda, Roland Braune, Karl F. Doerner and Richard F. Hartl

16:50 – 17:30

Panel Discussion