03203nam 2200505 450 991013830080332120221014075505.0953-51-5816-3(CKB)3230000000075317(NjHacI)993230000000075317(oapen)https://directory.doabooks.org/handle/20.500.12854/60366(MiAaPQ)EBC30390309(Au-PeEL)EBL30390309(EXLCZ)99323000000007531720221014d2007 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierSwarm Intelligence, Focus on Ant and Particle Swarm Optimization /edited by Felix T. S. Chan and Manoj Kumar Tiwari1st ed.IntechOpen2007Rijeka :IntechOpen,2007.©20071 online resource (xv, 532 pages) illustrations (some color)3-902613-09-2 In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on ""Swarm Intelligence: Focus on Ant and Particle Swarm Optimization"" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.Swarm intelligencePhysical SciencesEngineering and TechnologyIntelligent SystemComputer and Information ScienceArtificial IntelligenceSwarm intelligence.006.3Manoj Kumar Tiwariauth1366791Chan Felix T. STiwari ManojNjHacINjHaclBOOK9910138300803321Swarm Intelligence, Focus on Ant and Particle Swarm Optimization3389344UNINA