Description: Multi-Objective Swarm Intelligent Systems Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Theory & Experiences Author(s): Leandro dos Santos Coelho Format: Hardback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642051647, 978-3642051647 Synopsis Recently, a new class of heuristic techniques, the swarm intelligence has emerged. In this context, more recently, biologists and computer scientists in the ?eld of"arti?cial life"have been turning to insects for ideas that can be used for heuristics. Many aspects of the collective activities of social insects, such as foraging of ants, birds ?ocking and ?sh schooling are self-organizing, meaning that complex group behavior emerges from the interactions of in- viduals who exhibit simple behaviors by themselves. Swarm intelligence is an innovative computational way to solving hard problems. This discipline is mostly inspired by the behavior of ant colonies, bird ?ocks and ?sh schools and other biological creatures. In general, this is done by mimicking the behavior of these swarms. Swarm intelligence is an emerging research area with similar population and evolution characteristics to those of genetic algorithms. However, it di?erentiates in emphasizing the cooperative behavior among group m- bers. Swarm intelligence is used to solve optimization and cooperative pr- lems among intelligent agents, mainly in arti?cial network training, co- erative and/or decentralized control, operational research, power systems, electro-magnetics device design, mobile robotics, and others. The most we- knownrepresentativesofswarmintelligenceinoptimizationproblemsare:the food-searching behavior of ants, particle swarm optimization, and bacterial colonies. Real-world engineering problems often require concurrent optimization of several design objectives, which are con?icting in most of the cases. Such an optimization is generally called multi-objective or multi-criterion optimi- [url] context,the developmentofimprovementsfor swarmintelligence methods to multi-objective problems is an emergent research area.
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Book Title: Multi-Objective Swarm Intelligent Systems
Number of Pages: 211 Pages
Language: English
Publication Name: Multi-Objective Swarm Intelligent Systems: Theory & Experiences
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2009
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 574 g
Type: Textbook
Author: Leandro Dos Santos Coelho
Series: Studies in Computational Intelligence
Item Width: 155 mm
Format: Hardcover
