1/12/2024 0 Comments Genova multiclock watchHe has been organizer of several workshops, including one on Informal Distributed Evolutionary Computation at CEC 2011, and coorganizer of several Parallel Problem Solving from Nature, including chairing PPSN 2002 which was held at Granada. He has been working also on implementations of the above mentioned algorithms using overlay networks and other distributed computing methods, such as peer to peer systems. His research topics are mainly within the area of soft computing, including neural networks, evolutionary algorithms, complex networks and combinations of them. He is professor from November 2009, attached to the department of Computer Architecture and Technology of the University of Granada. Obtained a degree in Physics (majoring in Theoretical Physics) from the University of Granada in 1988 and his PhD in Physics in 1994 from the same University. Juan Julián Merelo Guervós, department of Computer Architecture and Technology of the University of Granada, Julián Merelo Guervós was born in Úbeda, Jaén, España, in March 10th, 1965. He co-organized a special session “EC on Many-core Architecture to Solve Large-scale Problems” in CEC2011 at New Orleans, “Parallel and Distributed Evolutionary Computation in the Cloud Era” in CEC2012 at Cancun, and a member of program committee of CEC since 2002. He has published more than 100 papers in the field of evolutionary computation including advanced evolutionary algorithms based on linkage identification, and distributed systems including cloud computing. Munetomo is a professor and vice-director of Information Initiative Center, Hokkaido University, and a chief architect of “Hokkaido University Academic Cloud”, the largest academic cloud system in Japan to conduct research projects realizing a national inter-cloud infrastructure. Masaharu Munetomo, Information Initiative Center, Hokkaido University, Japan. Voluntary, sneaky or parasite computing using the browser or other widely available infrastructure.Applications of EC and other bioinspired paradigms to peer to peer systems, and distributed EC algorithms that use them.Applications of parallel and evolutionary computation techniques in cloud or other modern computing environment.Development of parallel and distributed evolutionary computation framework in cloud computing systems.Design and theory of scalable evolutionary algorithms.Parallel and distributed evolutionary machine learning techniques.
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