| Title | Computational Aspects of Meta - Heuristic Optimization Algorithms |
| Speaker | Prof. Vaclav Snasel |
| Chair | Ferrante Neri |
Abstract
Differential evolution, Particle swarm optimization, Ant colony optimization etc. are efficient population-based meta - heuristic optimization algorithms for solving difficult real world problems. Due to the simplicity of their operations and data structures, they are suitable for a parallel implementation on multicore systems and on the GPU. In this lecture, we explain highly parallel implementation of selected meta - heuristic optimization algorithms using the CUDA architecture. We demonstrate the speedup obtained by the proposed parallelization of meta - heuristic optimization algorithms on NP hard combinatorial optimization problems and on benchmark functions of many variables. We also present influence of random generator on efficiency of meta - heuristic optimization algorithms.
Biography
Vaclav Snasel is a Professor of Computer Science at VSB – Technical University of Ostrava, Czech Republic. He works as researcher and university teacher. He is Dean Faculty of Electrical Engineering and Computer Science. He is head of research programme IT4 Knowledge management at European Center of Excellence IT4 Innovations.
Vaclav Snasel’s research and development experience includes over 30 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, social network, conceptual lattice, information retrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, nature and Bio-inspired computing, data mining, and applied to various real world problems.
He has given more than 12 plenary lectures and conference tutorials in these areas. He has authored/co-authored several refereed journal/conference papers, books and book chapters. He has published more than 400 papers (212 papers are recorded at Web of Science, 312 papers are recorded at Scopus). Citations at Google Scholar 1660 and h-index 17.
