IEEE CEC 2021 Program
Note: All timings are as per the Central European Summer Time (CEST) zone.
Click on the session blocks for more details.
  Monday, June 28th, 2021
Time Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7
10:00AM BPA1: Best paper awards - I (Student) T9: Evolutionary Computation for Feature Reduction T16: Introduction to Grammar-Based Evolutionary Computation T22: Evolutionary Machine Learning T6: Statistical Analyses for Meta-heuristic Stochastic Optimization Algorithms T8: Cartesian Genetic Programming and its Applications T20: Evolutionary Computation for Digital Art
12:00PM BPA2: Best paper awards - II (General) T2: Towards Better Explainable AI Through Genetic Programming T23: Embedding Knowledge into Optimization Process T10: Pareto Optimization for Subset Selection: Theories and Practical Algorithms T11: Modern Linkage Learning Techniques in Combinatorial Optimization T12: Differential Evolution with Ensembles, Adaptations and Topologies T24: Evolutionary Diversity Optimization
2:00PM   Break
2:15PM T14: Large-Scale Optimization and Learning T15: Multiobjective Optimization in the Presence of Constraints T4: Game Dynamics on Evolutionary Graphs: An Introduction T17: Benchmarking and Experimentation: Pitfalls and Best Practices T18: An Easy Introduction to Theory of Evolutionary Computation T3: Advances in Particle Swarm Optimization Development, Analysis, and Understanding W1: Workshop on Selection
4:15PM T1: Evolutionary Algorithms and Hyper-Heuristics T19: Evolution of Neural Networks T21: Adversarial Deep Learning by Using Coevolutionary Computation T5: Evolutionary Bilevel Optimization T7: Metaheuristics for NP-hard Combinatorial Problems T13: Evolutionary Many-Objective Optimization W2: Good Benchmarking Practices for Evolutionary Computation- BENCHMARKING@CEC-2021
6:15PM   End of day
  Tuesday, June 29th, 2021
Time Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7
10:00AM OP: Opening
10:30AM   Break
10:45AM VT1: Krakow Virtual Tour
11:45AM   Break
12:00PM R1: Differential Evolution R2: Genetic Algorithms - I R3: Evolutionary Computation for Dynamic and Uncertain Environments R4: Multi-objective Evolutionary Algorithms - I SS44: Evolutionary Algorithms for Complex Optimization in the Energy Domain R5: Real World Applications - I
1:00PM   Break
1:05PM R6: Learning Classifier Systems SS2: Memetic Computing R7: Discrete and Combinatorial Optimization SS22: Bioinformatics and Bioengineering Applications SS4: Nature-Inspired Algorithms and Machine Learning R8: Real World Applications - II
2:15PM   Break
2:30PM AW: Awards Ceremony
3:30PM   Break
3:45PM P1: Plenary - Xin Yao (When Everything Else Fails, Try Co-evolution)
4:45PM   Break
5:00PM P2: Plenary - Marco Dorigo (Towards Robust and Secure Robot Swarms)
6:00PM   Break
6:05PM SBF: IEEE Student Branch Forum
7:05PM   End of day
  Wednesday, June 30th, 2021
Time Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7
9:00AM R9: Genetic Programming and Symbolic Regression SS16-I: Evolutionary Scheduling and Combinatorial Optimisation - I SS30: Accelerated Evolutionary Algorithms for Deep Learning and Parallel Models in Future Generation Computing SS1: Evolutionary Unsupervised Learning and Applications SS20+25: Evolutionary Computation in Healthcare
10:00AM   Break
10:05AM SS3: Evolutionary Computation for Feature Selection, Extraction and Dimensionality Reduction SS46: Special Session Associated with Numerical Optimization Competitions SS18: Benchmarking of Computational Intelligence Algorithms (BOCIA) SS9: Data-Driven Evolutionary Optimization of Computationally Expensive Problems SS5-I: Evolutionary Deep Learning and Applications - I R10: Real World Applications - III
11:15AM   Break
11:30AM PD1: Panel Discussion: Evolutionary Computation in Real-World Applications
12:30PM   Break
1:00PM R11: Large-scale Optimization and Data-mining R12: Genetic Algorithms - II SS57+42: Representation Learning and Automated Meta-heuristics R13: Multi-objective Evolutionary Algorithms - II R14: Evolved Neural Networks - I R15: Real World Applications - IV
2:00PM   Break
2:05PM R16: Swarm Intelligence Algorithms - I R17: Heuristics, Meta-heuristics and Hyper-heuristics - I SS41: Candidate Solutions Representation and Fitness Landscape Manipulation SS33: Advances in Decomposition-based Evolutionary Multi-objective Optimization (ADEMO) R18: Meta-modeling and Surrogate Models R19: Finance and Economics
3:15PM   Break
3:30PM P3: Plenary - Zbigniew Michalewicz (AI-based business applications and the EC research)
4:30PM   Break
4:45PM P4: Plenary - Carlos Artemio Coello Coello (Lessons Learned after 25 Years Designing Multi-Objective Evolutionary Algorithms)
5:45PM   Break
6:00PM VT2: Krakow Virtual Tour
7:00PM   End of day
  Thursday, July 1st, 2021
Time Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7
9:00AM R20: Evolutionary Games and Multi-agent Systems SS43: Bilevel Optimization: Methods and Applications SS19: Evolutionary Multi-tasking SS37: Multimodal Multiobjective Path Planing Optimization SS32-I: Real-World and Industry Applications of Evolutionary Computation - I
10:00AM   Break
10:05AM R21: Genetic Algorithms - III SS16-II: Evolutionary Scheduling and Combinatorial Optimisation - II SS21: Evolutionary Many-objective Optimization: Methods and Application SS61: Niching Methods for Multimodal Optimization SS32-II: Real-World and Industry Applications of Evolutionary Computation - II
11:15AM   Break
1:00PM R22: Classification, Clustering, and Data-mining SS13: Games SS16-III: Evolutionary Scheduling and Combinatorial Optimisation - III SS7: Large-scale Multi-/Many-objective Optimization and Its Applications SS5-II: Evolutionary Deep Learning and Applications - II R23: Biometrics, Bioinformatics and Biomedical Applications
2:00PM   Break
2:05PM R24: Swarm Intelligence Algorithms - II R25: Heuristics, Meta-heuristics and Hyper-heuristics - II SS35+36: Evolutionary Computation and Learning for Software R26: Multi-objective Evolutionary Algorithms - III R27: Evolved Neural Networks - II R28: Parallel and Distributed Algorithms
3:15PM   Break
3:30PM P5: Plenary - Roman Słowiński (Evolutionary Multiobjective Optimization with Humans in the Loop)
4:30PM   Break
4:45PM P6: Plenary - Risto Miikkulainen (Neuroevolution: A Synergy of Evolution and Learning)
5:45PM   Break
6:00PM PD2: Panel Discussion: Journeys to Success within in the Computational Intelligence Industry
7:30PM   End of day