PEC 2016 - International Workshop on Parallel Evolutionary Computation (PEC 2016)

Evolutionary Algorithms (EA) are one 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 Algorithm, 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 EAs 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 EAs and HPC for researchers, practitioners, students and academics.
The PEC 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
Application of Parallelized Evolution
Evolutionary Computation
Genetic Programming
Multi-scale, Multi-physics and Multi-goal Systems
Analytical Modelling and Performance Evaluation with EA Execution
Distributed EAs Solving Hard Real-life Problems