Conference Programme

Day 1. Thursday, 21 November 2024

Welcome speech from the program committee

7.45-8.00 CET (9.45-10.00 Moscow time)

Keynote Speakers

8.00-8.45 CET (10.00-10.45 Moscow time)

Mario Guarracino. Advances in Whole Graph Embedding: Techniques, Applications, and Performance Evaluation

9.00-9.45 CET (11.00-11.45 Moscow time)

Ratikanta Behera. Tensor computations with image applications

Regular session

10.00-10.15 CET (12.00-12.15 Moscow time)

Aleksei Vakhnin. Dynamic Multi-level Cooperative Coevolution Framework for Solving Large-Scale Global Optimization Problems

10.15-10.30 CET (12.15-12.30 Moscow time)

Vladimir E. Zhuravlev. Soft Island Model of the Tent-map-based Fish School Search Algorithm with Exponential Step Decay

10.30-10.45 CET (12.30-12.45 Moscow time)

Vladimir Maslennikov. New Approach to Implementation of Quantum-Inspired Genetic Algorithm for Numerical Optimization Based on High-Dimensional Quantum States

10.45-11.00 CET (12.45-13.00 Moscow time)

Sergei Mitrofanov. Improving the Efficiency of Regression Decision Trees by Applying the Differential Evolution Method

Tutorial

11.00-11.45 CET (13.00-13.45 Moscow time)

Pavel Sherstnev. Thefittest Library: Evolutionary Algorithms and Automation of Machine Learning Models Design in Python

Keynote Speakers

12.00-12.45 CET (14.00-14.45 Moscow time)

Shuai Li. Competition of Tribes and Cooperation of Members Algorithm: An Evolutionary Computation Approach for Model Free Optimization

Regular session

13.00-13.15 CET (15.00-15.15 Moscow time)

Eduard Morozov. Optimizing Neural Network Loss Function with Differential Evolution

13.15-13.30 CET (15.15-15.30 Moscow time)

Denis Shabalin. Neural Network-Based Vehicle Control in Simulated Environments Using Real-Coded Genetic Algorithms

13.30-13.45 CET (15.30-15.45 Moscow time)

Nikita Moroshkin. Optimization of Regular Expressions Using Competitive Coevolutionary Algorithm Based on Symbolic Regression

13.45-14.00 CET (15.45-16.00 Moscow time)

Nikita Marushchenko. Development of a Fuzzy Rule Base Design Algorithm Using a Genetic Algorithm and Inverted Pendulum

Day 2. Friday, 22 November 2024

Keynote Speakers

8.00-8.45 CET (10.00-10.45 Moscow time)

Ying Liufu. Improved Neural Dynamics Models for Real-Time Nonlinear Optimization with Applications

Tutorial

9.00-9.45 CET (11.00-11.45 Moscow time)

Vladimir Stanovov. Modern differential evolution: from simple adaptive schemes to hyper-heuristics

Regular session

10.00-10.15 CET (12.00-12.15 Moscow time)

Vladimir Stanovov. Genetic Improvement of mQSO Algorithm for Dynamic Optimization using PushGP

10.15-10.30 CET (12.15-12.30 Moscow time)

Zakhar Novikov. Development and Analysis of Adaptive Mutation in Genetic Algorithm

10.30-10.45 CET (12.30-12.45 Moscow time)

Anton Sopov. Adaptive Component Crossover for Differential Evolution in Solving Single-objective Optimization Problems

10.45-11.00 CET (12.45-13.00 Moscow time)

Aleksandr Morshinin. Axiomatization of comatroids with a girth function

Keynote Speakers

11.00-11.45 CET (13.00-13.45 Moscow time)

Long Jin. Computational Social Science: Leveraging Data and Models to Unravel Opinion Dynamics and Drive Societal Change

12.00-12.45 CET (14.00-14.45 Moscow time)

Anton Eremeev. Overcoming Local Optima in Evolutionary Heuristics: Theory and Practice

Student session

13.00-13.10 CET (15.00-15.10 Moscow time)

Gordey Smirnov. The effectiveness of genetic algorithms for optimizing the inventory of marketplaces 

13.10-13.20 CET (15.10-15.20 Moscow time)

Nikita Smirnov and Daniel Ageev. Recognition of Technical Drawing Text Using Fine-Tuned TrOCR Model

13.20-13.30 CET (15.20-15.30 Moscow time)

Nikita Bazin. Research of the Efficiency of a Self-adapive Genetic Programming Algorithm for Regression Problems

13.30-13.40 CET (15.30-15.40 Moscow time)

Lev Kene. Building a model for predicting fire dynamics in the Krasnoyarsk Kray

13.40-13.50 CET (15.40-15.50 Moscow time)

Maksim Koshin. Genetic programming application to build a decisive rule for the collective regression models

13.50-14.00 CET (15.50-16.00 Moscow time)

Ivan Malashin. Enhancing Defect Prediction  in SLM Processes

14.00-14.10 CET (16.00-16.10 Moscow time)

Nikolay Podanyov. Cooperative coevolution of differential evolution algorithms for solving mixed optimization problems

14.10-14.20 CET (16.10-16.20 Moscow time)

Yulia Cheprasova. Research of Approaches to Fitness Calculation and Mutation Operator Implementation in Genetic Programming

14.20-14.30 CET (16.20-16.30 Moscow time)

TBA

Regular session

14.30-14.45 CET (16.30-16.45 Moscow time)

Tahidul Islam. Mental Health Evaluation During Internet Blackouts: A Case Study of Bangladesh Quota Movement

Closing Speech from the Organizing Committee

14.45-... CET (16.45-... Moscow time)