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010   $a3-319-16000-1
024 7 $a10.1007/978-3-319-16000-9
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035   $a(EBL)1998048
035   $a(OCoLC)904131861
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035   $a(DE-He213)978-3-319-16000-9
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035   $a(PPN)184499143
035   $a(EXLCZ)993710000000360336
100   $a20150225d2015      u|             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aProbability Collectives$b[electronic resource] $eA Distributed Multi-agent System Approach for Optimization /$fby Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (162 p.)
225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v86
300   $aDescription based upon print version of record.
311   $a3-319-15999-2 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction to Optimization -- Probability Collectives: A Distributed Optimization Approach -- Constrained Probability Collectives: A Heuristic Approach -- Constrained Probability Collectives with a Penalty Function Approach -- Constrained Probability Collectives With Feasibility-Based Rule I -- Probability Collectives for Discrete and Mixed Variable Problems -- Probability Collectives with Feasibility-Based Rule II.
330   $aThis book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.
410  0$aIntelligent Systems Reference Library,$x1868-4394 ;$v86
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aStatistical physics
606   $aDynamical systems
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000
606   $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aStatistical physics.
615  0$aDynamical systems.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aComplex Systems.
615 24$aStatistical Physics and Dynamical Systems.
676   $a006.3
700   $aKulkarni$b Anand Jayant$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720592
702   $aTai$b Kang$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aAbraham$b Ajith$f1968-$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299701203321
996   $aProbability Collectives$92507771
997   $aUNINA