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03289nam a2200565 4500 |
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978-3-319-93073-2 |
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20191220125321.0 |
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181102s2018 gw | s |||| 0|eng d |
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|a 9783319930732
|9 978-3-319-93073-2
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|a 10.1007/978-3-319-93073-2
|2 doi
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|d GrThAP
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|a Q334-342
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|a UYQ
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|a COM004000
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|a UYQ
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|a 006.3
|2 23
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|a Chopard, Bastien.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a An Introduction to Metaheuristics for Optimization
|h [electronic resource] /
|c by Bastien Chopard, Marco Tomassini.
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a XII, 226 p. 44 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Natural Computing Series,
|x 1619-7127
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|a Problems, Algorithms, Computational Complexity -- Search Space -- Tabu Search -- Simulated Annealing -- Ant Colony Optimization (ACO) -- Non-PSO Optimization -- Firefly Algorithm, Cuckoo Algorithm, Lévy Flights -- Evolutionary Algorithms: Foundations -- Evolutionary Algorithms: Advanced -- Phase Transition in Optimization Problems -- Performance and Limitations of Metaheuristics -- Statistical Analysis of Research Spaces.
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|a The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.
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|a Artificial intelligence.
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|a Mathematical optimization.
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|a Computational intelligence.
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|a Operations research.
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|a Decision making.
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|a Computers.
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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|a Optimization.
|0 http://scigraph.springernature.com/things/product-market-codes/M26008
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650 |
2 |
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|a Computational Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/T11014
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650 |
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|a Operations Research/Decision Theory.
|0 http://scigraph.springernature.com/things/product-market-codes/521000
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|a Theory of Computation.
|0 http://scigraph.springernature.com/things/product-market-codes/I16005
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700 |
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|a Tomassini, Marco.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319930725
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776 |
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|i Printed edition:
|z 9783319930749
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|a Natural Computing Series,
|x 1619-7127
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856 |
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|u https://doi.org/10.1007/978-3-319-93073-2
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
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