Schedule for the CEC2017



Time Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Room 10A Room 10B
Registration and Information open from 8:30 to 19:00
08:45-10:45 T2: Next Generation Genetic Algorithms T1: Applying Stopping Criteria in Evolutionary Multi-Objective Optimization T4: Approximate Computing: An Evolutionary Computing Perspective T5: Evolutionary Computation for Community Detection in Complex Networks T3: Evolutionary Computation for Dynamic Optimization Problems T6: Big Data Learning with Evolutionary Algorithms DSO: Data Science meets Optimization Workshop 2017
10:45-11:15 Coffee break the Multipurpose Rooms Hall
11:15-13:15 T7: Visualization in Multiobjective Optimization T12: From Threshold Convergence to Leaders and Followers T9: Geometric Semantic Genetic Programming and its Real-Life Applications T10: Recent Advances on Milti-modal Optimization T8: Constraint-Handling in Nature-Inspired Optimization T11: Evolutionary Computation for Non-Convex Machine Learning
13:15-15:00 Lunch (on your own)
15:00-17:00 T13: Theory of Evolutionary Computation: Introductory Tutorial T14: Automatic Design of Algorithms T17: Intelligent Systems for Smart Cities T16: Parallel and Distributed Evolutionary Algorithms T19: Fitness Landscape Analysis and Algorithm Performance for Single- and Multi-objective Combinatorial Optimization T15: Evolutionary Large-Scale Global Optimization: An Introduction T18: Recent Advances in Multi-objective and Many-objective Evolutionary Algorithms
17:00-17:30 Coffee break at Multipurpose Rooms Hall
17:30-19:30 T22: Evolutionary Algorithms in the Cloud T21: Particle Swarm Optimization: A Universal Optimizer? T20: Theory of Evolutionary Computation: Advanced Tutorial T25: Differential Evolution with Ensembles and Topologies T24: Evolutionary Algorithms and Hyper-Heuristics T23: Evolutionary Bilevel Optimization
End of Tutorials
Time Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Room 10A
Registration and Information open from 08:30 to 19:00
8:30-9:30 Plenary Talk 1
Multiobjective Optimization for Clustering: A Case Study in Gene Expression Data Analysis
Sanghamitra Bandyopadhyay
09:45-10:45 Associated with Competition on Bound Constrained Single Objective Numerical Optimization Coevolutionary Systems Computational Intelligence and Games I Industry-Standard EC Applications: Successes and Challenges Engineering Applications of Evolutionary Computation I Nature-Inspired Constrained Single-, Multi-, and Many-Objective Optimization Evolutionary Computing Applications in Hardware
10:45-11:15 Coffee break at Multipurpose Rooms Hall
11:15-13:15 Associated with Competition on Bound Constrained Single Objective Numerical Optimization II Evolutionary Computation in Aerospace Science and Engineering Differential Evolution: Past, Present and Future I Memetic Computing Engineering Applications of Evolutionary Computation II Evolutionary Scheduling and Combinatorial Optimization Evolutionary Methods and Machine Learning: Data Preprocessing, Learning Models and Their Applications I
13:15-14:30 Lunch at the lunch room
14:30-16:30 Associated with Competition on Bound Constrained Single Objective Numerical Optimization III Evolutionary Computer Vision Natural Computation Applied to Power Systems Evolutionary Computation for Automated Algorithm Design Evolutionary Computation for Feature Selection, Extraction and Dimensionality Reduction Evolutionary Scheduling and Combinatorial Optimization Evolutionary Methods and Machine Learning in SE, Testing and SE Repositories
16:30-18:00 Poster Session with soft drinks at the Multipurpose Rooms Hall
End of Sessions
20:00 Welcome Reception at Palacio Miramar
Time Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Room 10A
Registration and Information open from 08:30 to 19:00
8:30-9:30 Plenary Talk 2
Use of Traditional Optimization Methods in Multiobjective Evolutionary Computation
Qingfu Zhang
09:45-10:45 Associated with Competition on Bound Constrained Single Objective Numerical Optimization Evolutionary Games: From Theory to Applications Differential Evolution: Past, Present and Future II Evolutionary Methods and Machine Learning: Data Preprocessing, Learning Models and Their Applications II Evolutionary Computation in Bioinformatics Finance and Economics Diversity Preservation Mechanisms for Population-Based Metaheuristics
10:45-11:15 Coffee break at Multipurpose Rooms Hall
11:15-13:15 Multiobjective Optimization I Genetics-Based Machine Learning to Evolutionary Machine Learning Evolutionary Computation for Music, Art, and Creativity Parallel and Distributed Algorithms Engineering Applications Heuristics, Metaheuristics and Hyper-Heuristics I Discrete and Combinatorial Optimization I
13:15-14:30 Lunch at the lunch room
14:30-16:30 Multiobjective Optimization II Genetic Programming I Genetic Algorithms I Real-World Applications I Computational Intelligence and Games II Artificial Immune Systems: Algorithms, Simulation, Modelling and Theory Classification, Clustering, Data Analysis and Data Mining I
16:30-17:00 Coffee break at Multipurpose Rooms Hall
17:00-18:00 Plenary Talk 3
When Do We Resort to EC in the Communications Industry – And What is Needed in the Future?
Rainer Storn
End of Sessions
19:30 Awards Banquet at Cristóbal Balenciaga Museum (Getaria)
Information about the bus transfer to Getaria will be provided at the registration desk
Time Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Room 10A
Registration and Information open from 08:30 to 19:00
08:30-09:30 Plenary Talk 4
How Symmetry Constrains Evolutionary Optimizers: Black Box Differential Evolution – A Case Study
Kenneth V. Price
09:45-10:45 Medical and Healthcare Applications of Evolutionary Computation Ant Colony Optimization Genetic Algorithms II Large Scale Optimization Advances in Multiobjective Evolutionary Algorithms based on Decomposition Evolutionary Computation Theory Fitness Landscape Analysis for Understanding and Designing Intelligent Optimization Algorithms
10:45-11:15 Coffee break at Multipurpose Rooms Hall
11:15-13:15 Multiobjective Optimization III Classification, Clustering, Data Analysis and Data Mining II Real-World Applications II Heuristics, Metaheuristics and Hyper-Heuristics II Recent Advances in Evolutionary Computation for Permutation Problems Workshop on Computational Energy Management in Smart Grids Particle Swarm Optimization
13:15-14:30 Lunch at the lunch room
14:30-16:30 Evolutionary Many-Objective Optimization Memetic, Multi-meme and Hybrid Algorithms Intelligent Systems Applications Differential Evolution Optimization: Algorithms and Applications DCO2: Discrete and Combinatorial Optimization II
16:30-17:00 Coffee break at Multipurpose Rooms Hall
17:00-18:00 Nature Inspired Computation in Navigation and Vehicle Routing When Evolutionary Computation Meets Data Mining Brain Storm Optimization Algorithms Evolved Neural Networks Niching Methods for Multimodal Optimization Genetic Programming II
End of Sessions and Congress