TY - BOOK AU - Coello,Carlos A.Coello AU - Cutello,Vincenzo AU - Deb,Kalyanmoy AU - Forrest,Stephanie AU - Nicosia,Giuseppe AU - Pavone,Mario ED - SpringerLink (Online service) TI - Parallel Problem Solving from Nature - PPSN XII: 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II T2 - Lecture Notes in Computer Science, SN - 9783642329647 AV - Q334-342 U1 - 006.3 23 PY - 2012/// CY - Berlin, Heidelberg PB - Springer Berlin Heidelberg, Imprint: Springer KW - Computer science KW - Computer software KW - Computational complexity KW - Artificial intelligence KW - Optical pattern recognition KW - Bioinformatics KW - Computer Science KW - Artificial Intelligence (incl. Robotics) KW - Computational Biology/Bioinformatics KW - Computation by Abstract Devices KW - Pattern Recognition KW - Algorithm Analysis and Problem Complexity KW - Discrete Mathematics in Computer Science N1 - evolutionary computation -- machine learning, classifier systems, image processing -- experimental analysis, encoding, EDA, GP; multiobjective optimization -- swarm intelligence, collective behavior, coevolution and robotics -- memetic algorithms, hybridized techniques, meta and hyperheuristics -- applications N2 - The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 6 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications UR - http://dx.doi.org/10.1007/978-3-642-32964-7 ER -