How to enter in Gather
- Be sure that you use Google Chrome or Firefox
- Follow this link to enter the space.
- Enjoy!
What you find in Gather
In Gather you will enter in the main room, where you can chat and do some networking.
![](https://www.evostar.org/2023/wp-content/uploads/2023/04/lounge-2023-768x1024.png)
At the right you will find the online poster room (see below). In that room each poster is placed in a coordinate represented by a letter (column) and a number (row). You will find the posters associated to each position at the end of this page.
![](https://www.evostar.org/2023/wp-content/uploads/2023/04/regular-posters-v2-1-1024x1024.png)
Poster positions
- A1 – A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling (Hui Ma) – EvoApplications (EvoAPPS)
- B1 – Deep Reinforcement Learning for 5 x 5 Multiplayer Go (Brahim Driss) – EvoApplications (EvoAPPS)
- C1 – A Fitness-based Migration Policy for Biased Random-Key Genetic Algorithms (Mateus Boiani) – EvoApplications (EvoAPPS)
- D1 – To bias or not to bias: Probabilistic initialisation for evolving dispatching rules (Marko Đurasević) – EuroGP
- E1 – Spatial Genetic Programming (Iliya Miralavy) – EuroGP
- A2 – A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms using the Principles of Severity (Sowmya Chandrasekaran) – EvoApplications (EvoAPPS)
- B2 – A New Prediction-Based Algorithm for Dynamic Multi-Objective Optimization Problems (Kalthoum Karkazan) – EvoApplications (EvoAPPS)
- C2 – Multi-Objective Location-Aware Service Brokering in Multi-Cloud – A GPHH Approach with Transfer Learning (Hui Ma) – EvoApplications (EvoAPPS)
- D2 – Centroid-based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training (Seyed Jalaleddin Mousavirad) – EvoApplications (EvoAPPS)
- E2 – Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features (Raphael Patrick Prager) – EvoApplications (EvoAPPS)
- A3 – AI-Aided Ceramic Sculptures: Bridging Deep Learning with Materiality (varvara guljajeva) – EvoMusArt
- B3 – OSC-Qasm: Interfacing Music Software with Quantum Computing (Omar Costa Hamido) – EvoMusArt
- C3 – Improving Automatic Music Genre Classification Systems by Using Descriptive Statistical Features (Ravindu Ramesh Perera) – EvoMusArt
- D3 – Fabric Sketch Augmentation & Styling via Deep Learning & Image Synthesis (Omema Ahmed) – EvoMusArt
- E3 – Stipple Tunes: An Artistic Form of Uncompressed Image in Audio Steganography (Christopher J. Tralie) – Late-Breaking Abstracts (LBAs)