caa a22 4500 445851775 CHVBK 20180317145415.0 cr unu---uuuuu 170323e20111101xx s 000 0 eng 10.1007/s11227-009-0368-4 doi (NATIONALLICENCE)springer-10.1007/s11227-009-0368-4 Comparison of parallel multi-objective approaches toprotein structure prediction [Elektronische Daten] [J. Calvo, J. Ortega, M. Anguita] Protein structure prediction (PSP) is an open problem with many useful applications in disciplines such as medicine, biology and biochemistry. As this problem presents a vast search space and the analysis of each protein structure requires a significant amount of computing time, it is necessary to take advantage of high-performance parallel computing platforms as well as to define efficient search procedures in the space of possible protein conformations. In this paper we compare two parallel procedures for PSP which are based on different multi-objective optimization approaches, i.e. PAES (Knowles and Corne in Proc. Congr. Evol. Comput. 1:98-105, 1999) and NSGA2 (Deb et al. in IEEE Trans. Evol. Comput. 6:182-197, 2002). Although both procedures include techniques to take advantage of known protein structures and strategies to simplify the search space through the so-called rotamer library and adaptive mutation operators, they present different profiles with respect to their implicit parallelism. Springer Science+Business Media, LLC, 2009 Protein structure prediction nationallicence Multiobjective optimization nationallicence Parallelism nationallicence Calvo J. Department of Computer Architecture and Computer Technology, CITIC-UGR University of Granada, Granada, Spain aut Ortega J. Department of Computer Architecture and Computer Technology, CITIC-UGR University of Granada, Granada, Spain aut Anguita M. Department of Computer Architecture and Computer Technology, CITIC-UGR University of Granada, Granada, Spain aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/2(2011-11-01), 253-260 0920-8542 58:2<253 2011 58 11227 https://doi.org/10.1007/s11227-009-0368-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-009-0368-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Calvo J. Department of Computer Architecture and Computer Technology, CITIC-UGR University of Granada, Granada, Spain aut NATIONALLICENCE 700 1- Ortega J. Department of Computer Architecture and Computer Technology, CITIC-UGR University of Granada, Granada, Spain aut NATIONALLICENCE 700 1- Anguita M. Department of Computer Architecture and Computer Technology, CITIC-UGR University of Granada, Granada, Spain aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/2(2011-11-01), 253-260 0920-8542 58:2<253 2011 58 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer