CIPEC 2019 - International Workshop on Computational Intelligence and Parallel Evolutionary Computation (CIPEC 2019)

Computational Intelligence (CI) and Evolutionary Algorithms (EA) are ones of the most important tools for complex systems evaluation. Some of the recent EA’s are Differential Evolution, Particle Swarm (Swarm Intelligence), Scatter Search, and Self-Organizing Migrating Algorithms, amongst others. Other techniques, such as Genetic Programming or similar techniques, are widely used today in order to get elegant solutions of complex systems. Examples of such systems can be seen in ordinary world around us and of course in almost every science discipline, including such “exotic” domains like the earth’s atmosphere, turbulent fluids, economies (exchange rate and stock markets), population growth, physics (control of plasma) and chemistry for example.
Computational complexity of many problems is so big that standard as well as evolutionary techniques, together with methods of HPC, have to be used to get results in real time. Together with such applications of CI, EA and HPC, there are theoretical questions about HPC, its possibilities, and use.
This track is to establish a forum for the presentation and discussion of recent trends in the areas at the intersection of CI, EA and HPC for researchers, practitioners, students and academics.
The CIPEC Workshop topics include (but are not limited to) the following:
Evolution in Grid Mathematica
Parallelized Genetic Programming Techniques
Parallel Implementation of Evolutionary Algorithms
Hardware Implementation of EAs
Complex Networks and Evolution
Evolution and Cloud Computing
Evolution and Classical HPC
Evolutionary Multi Objective Optimization Techniques
Modeling and Simulation with uncertain and incomplete data
Application of Parallelized Evolution
Evolutionary Computation
Genetic Programming
Multi-scale, Multi-physics and Multi-goal Systems
Analytical Modeling and Performance Evaluation with EA Execution
Distributed EAs Solving Hard Real-life Problems
Computational Social Systems
Big data, artificial intelligence, and machine learning
Data Mining, Information Retrieval, and Computational Intelligence
Fuzzy Computation, Neural Computation and Hybrid Systems