Difference between revisions of "CEC 2021"
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|Paper deadline=2021/02/23 | |Paper deadline=2021/02/23 | ||
|Notification=2021/04/06 | |Notification=2021/04/06 | ||
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| + | ==== Topics ==== | ||
The Conference Organizing Committee invites submissions of original, previously unpublished innovative research in any topic of evolutionary computation including, but not limited to: | The Conference Organizing Committee invites submissions of original, previously unpublished innovative research in any topic of evolutionary computation including, but not limited to: | ||
| − | Algorithms | + | ===== Algorithms ===== |
| − | Adaptive dynamic programming and reinforcement learning | + | * Adaptive dynamic programming and reinforcement learning |
| − | Ant colony optimization and Swarm Intelligence | + | * Ant colony optimization and Swarm Intelligence |
| − | Artificial immune systems | + | * Artificial immune systems |
| − | Coevolutionary systems | + | * Coevolutionary systems |
| − | Coevolution and collective behavior | + | * Coevolution and collective behavior |
| − | Convergence, scalability and complexity analysis | + | * Convergence, scalability and complexity analysis |
| − | Cultural algorithms | + | * Cultural algorithms |
| − | Differential evolution | + | * Differential evolution |
| − | Estimation of distribution algorithms | + | * Estimation of distribution algorithms |
| − | Evolutionary computation theory | + | * Evolutionary computation theory |
| − | Evolutionary programming | + | * Evolutionary programming |
| − | Evolution strategies | + | * Evolution strategies |
| − | Genetic algorithms | + | * Genetic algorithms |
| − | Genetic programming | + | * Genetic programming |
| − | Heuristics, metaheuristics and hyper-heuristics | + | * Heuristics, metaheuristics and hyper-heuristics |
| − | Interactive evolutionary computation | + | * Interactive evolutionary computation |
| − | Learning classifier systems | + | * Learning classifier systems |
| − | Memetic, multi-meme and hybrid algorithms | + | * Memetic, multi-meme and hybrid algorithms |
| − | Molecular and quantum computing | + | * Molecular and quantum computing |
| − | Multi-objective evolutionary algorithms | + | * Multi-objective evolutionary algorithms |
| − | Parallel and distributed algorithms | + | * Parallel and distributed algorithms |
| − | Particle swarm optimization | + | * Particle swarm optimization |
| − | Representation and operators | + | * Representation and operators |
| − | Self-adaptation in evolutionary computation | + | * Self-adaptation in evolutionary computation |
| − | Theory and Implementation | + | * Theory and Implementation |
| − | Hybrid Systems of Computational Intelligence | + | ===== Hybrid Systems of Computational Intelligence ===== |
| − | + | ||
| − | Evolved neural networks | + | * Evolved neural networks |
| − | Evolutionary fuzzy systems | + | * Evolutionary fuzzy systems |
| − | Evolved neuro-fuzzy systems | + | * Evolved neuro-fuzzy systems |
| − | |||
| − | |||
| − | Combinatorial Optimization and Metaheuristics | + | ===== Optimization ===== |
| − | Constraint handling | + | * Combinatorial Optimization and Metaheuristics |
| − | Discrete and combinatorial optimization | + | * Constraint handling |
| − | Dynamic and uncertain environments | + | * Discrete and combinatorial optimization |
| − | Meta-modeling and surrogate models | + | * Dynamic and uncertain environments |
| − | Evolutionary simulation-based optimization | + | * Meta-modeling and surrogate models |
| − | Preference handling | + | * Evolutionary simulation-based optimization |
| − | Large-scale problems | + | * Preference handling |
| − | Multi objective optimization | + | * Large-scale problems |
| − | Numerical optimization | + | * Multi objective optimization |
| + | * Numerical optimization | ||
| − | Related Areas and Applications | + | ===== Related Areas and Applications ===== |
| − | Art and music | + | * Art and music |
| − | Artificial ecology and artificial life | + | * Artificial ecology and artificial life |
| − | Autonomous mental and behavior development | + | * Autonomous mental and behavior development |
| − | Biometrics, bioinformatics and biomedical applications | + | * Biometrics, bioinformatics and biomedical applications |
| − | Classification, clustering and data analysis | + | * Classification, clustering and data analysis |
| − | Data mining | + | * Data mining |
| − | Defense and cybersecurity | + | * Defense and cybersecurity |
| − | Evolutionary games and multi-agent systems | + | * Evolutionary games and multi-agent systems |
| − | Evolutionary Machine Learning | + | * Evolutionary Machine Learning |
| − | Evolvable hardware and software | + | * Evolvable hardware and software |
| − | Evolutionary Robotics | + | * Evolutionary Robotics |
| − | Engineering applications | + | * Engineering applications |
| − | Emergent technologies | + | * Emergent technologies |
| − | Finance and economics | + | * Finance and economics |
| − | Games | + | * Games |
| − | Intelligent systems applications | + | * Intelligent systems applications |
| − | Robotics | + | * Robotics |
| − | Real-world applications | + | * Real-world applications |
Latest revision as of 20:16, 1 April 2022
| CEC 2021 | |
|---|---|
IEEE Congress on Evolutionary Computation
| |
| Event in series | CEC |
| Dates | 2021/06/28 (iCal) - 2021/07/01 |
| Presence | online |
| Homepage: | https://cec2021.mini.pw.edu.pl/ |
| Twitter account: | @cec2021 |
| Location | |
| Location: | Krakow, Online |
| Important dates | |
| Papers: | 2021/02/23 |
| Submissions: | 2021/02/21 |
| Notification: | 2021/04/06 |
| Table of Contents | |
| Tweets by @cec2021 | |
Topics
The Conference Organizing Committee invites submissions of original, previously unpublished innovative research in any topic of evolutionary computation including, but not limited to:
Algorithms
- Adaptive dynamic programming and reinforcement learning
- Ant colony optimization and Swarm Intelligence
- Artificial immune systems
- Coevolutionary systems
- Coevolution and collective behavior
- Convergence, scalability and complexity analysis
- Cultural algorithms
- Differential evolution
- Estimation of distribution algorithms
- Evolutionary computation theory
- Evolutionary programming
- Evolution strategies
- Genetic algorithms
- Genetic programming
- Heuristics, metaheuristics and hyper-heuristics
- Interactive evolutionary computation
- Learning classifier systems
- Memetic, multi-meme and hybrid algorithms
- Molecular and quantum computing
- Multi-objective evolutionary algorithms
- Parallel and distributed algorithms
- Particle swarm optimization
- Representation and operators
- Self-adaptation in evolutionary computation
- Theory and Implementation
Hybrid Systems of Computational Intelligence
- Evolved neural networks
- Evolutionary fuzzy systems
- Evolved neuro-fuzzy systems
Optimization
- Combinatorial Optimization and Metaheuristics
- Constraint handling
- Discrete and combinatorial optimization
- Dynamic and uncertain environments
- Meta-modeling and surrogate models
- Evolutionary simulation-based optimization
- Preference handling
- Large-scale problems
- Multi objective optimization
- Numerical optimization
Related Areas and Applications
- Art and music
- Artificial ecology and artificial life
- Autonomous mental and behavior development
- Biometrics, bioinformatics and biomedical applications
- Classification, clustering and data analysis
- Data mining
- Defense and cybersecurity
- Evolutionary games and multi-agent systems
- Evolutionary Machine Learning
- Evolvable hardware and software
- Evolutionary Robotics
- Engineering applications
- Emergent technologies
- Finance and economics
- Games
- Intelligent systems applications
- Robotics
- Real-world applications