Day 1 of the 2021 IEEE Congress on Evolutionary Computation

Our (Mike, Boris, and Thomas) tutorial Benchmarking and Experimentation: Pitfalls and Best Practices starts at 2:15 p.m. today.

Here is the full program:

Today’s technical programming features tutorials, workshops and best paper evaluation meetings, beginning at 10:00 A.M CEST. Join the sessions live, where you can ask the speakers questions, or watch the content on-demand at any time.

Click on the session titles below for direct Zoom links to the live sessions:

Please note all times are listed in Central European Summer Time (CEST) (GMT/UTC +2)

10:00 A.M. – 11:40 A.M.
Best Paper Award I Evaluation Meeting

10:00 A.M. -12:00 P.M.
Tutorials

Statistical Analyses for Meta-heuristic Stochastic Optimization Algorithms
Evolutionary Computation for Feature Reduction
Cartesian Genetic Programming and its Applications
Introduction to Grammar-Based Evolutionary Computation
Evolutionary Computation for Digital Art
Evolutionary Machine Learning

12:00 P.M. – 1:40 P.M.
Best Paper Award II Evaluation Meeting

12:00 P.M. – 2:00 P.M.
Tutorials

Towards Better Explainable AI Through Genetic Programming
Pareto Optimization for Subset Selection: Theories and Practical Algorithms
Modern Linkage Learning Techniques in Combinatorial Optimization
Differential Evolution with Ensembles, Adaptations and Topologies
Embedding Knowledge into Optimization Process
Evolutionary Diversity Optimization

2:15 P.M. – 4:15 P.M.
Tutorials
Advances in Particle Swarm Optimization Development, Analysis, and Understanding
Game Dynamics on Evolutionary Graphs: An Introduction
Large-Scale Optimization and Learning
Multiobjective Optimization in the Presence of Constraints
Benchmarking and Experimentation: Pitfalls and Best Practices
An Easy Introduction to Theory of Evolutionary Computation

2:15 P.M. – 4:15 P.M.
Workshop 
Workshop on Selection

4:15 P.M. – 6:15 P.M.
Tutorials
Evolutionary Algorithms and Hyper-Heuristics
Evolutionary Bilevel Optimization
Metaheuristics for NP-hard Combinatorial Problems
Evolutionary Many-Objective Optimization
Neuroevolution: A Synergy of Evolution and Learning
Adversarial Deep Learning by Using Coevolutionary Computation

4:15 P.M. – 6:15 P.M.
Workshop
Good Benchmarking Practices for Evolutionary Computation