Parallel Problem Solving from Nature - PPSN VII 7th International Conference, Granada, Spain, September 7-11, 2002, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Merelo, Juan J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Adamidis, Panagiotis (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Beyer, Hans-Georg (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Lecture Notes in Computer Science, 2439
• Θέματα: Applied mathematics.; Engineering mathematics.; Computer science-Mathematics.; Software engineering.; Computers.; Algorithms.; Microprocessors.; Applications of Mathematics.; Mathematics of Computing.; Software Engineering/Programming and Operating Systems.; Computation by Abstract Devices.; Algorithm Analysis and Problem Complexity.; Processor Architectures.

 We are proud to introduce the proceedings of the Seventh International C- ference on Parallel Problem Solving from Nature, PPSN VII, held in Granada, Spain, on 7-11 September 2002. PPSN VII was organized back-to-back with the Foundations of Genetic Algorithms (FOGA) conference, which took place in Torremolinos, Malaga, Spain, in the preceding week. ThePPSNseriesofconferencesstartedinDortmund,Germany[1].Fromthat pioneering meeting, the event has been held biennially, in Brussels, Belgium [2], Jerusalem, Israel [3], Berlin, Germany [4], Amsterdam, The Netherlands [5], and Paris, France [6]. During the Paris conference, several bids to host PPSN 2002 were put forward; it was decided that the conference would be held in Granada with Juan J. Merelo Guerv´ os as General Chairman. The scienti?c content of the PPSN conference focuses on problem-solving paradigms gleaned from natural models, with an obvious emphasis on those that display an innate parallelism, such as evolutionary algorithms and ant-colony optimization algorithms. The majority of the papers, however, concentrate on evolutionary and hybrid algorithms, as is shown in the contents of this book and itspredecessors.Thiseditionoftheconferenceproceedingshasalargesectionon applications,betheytoclassicalproblemsortoreal-worldengineeringproblems, which shows how bioinspired algorithms are extending their use in the realms of business and enterprise. 

 Evolutionary Algorithms Theory -- Representation/Codification Issues -- Variation Operators: Analysis, New Techniques -- Evolutionary Techniques: Coevolution -- Multiobjective Optimization -- Evolutionary Algorithms: New Techniques -- Hybrid Algorithms:Neurogenetic Algorithms, Evolutionary Techniques Applied to Neural Nets -- Hybrid Algorithms: Memetic, Other -- Learning Classifier Systems -- Comparison of Different Techniques -- Evolutionary Algorithm Implementations -- Applications -- Other Bioinspired Algorithms: Cellular Automata,Ant Colony Optimization.