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03443nam a2200505 4500 |
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978-3-319-91341-4 |
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DE-He213 |
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20191027122647.0 |
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cr nn 008mamaa |
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180606s2019 gw | s |||| 0|eng d |
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|a 9783319913414
|9 978-3-319-91341-4
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|a 10.1007/978-3-319-91341-4
|2 doi
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|a 006.3
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|a Evolutionary and Swarm Intelligence Algorithms
|h [electronic resource] /
|c edited by Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal.
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| 250 |
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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| 300 |
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|a X, 190 p. 57 illus., 21 illus. in color.
|b online resource.
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| 336 |
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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
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 779
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| 505 |
0 |
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|a Swarm and Evolutionary Computation -- Particle Swarm Optimization -- Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization -- Spider Monkey Optimization Algorithm -- Genetic Algorithm and Its Advances in Embracing Memetics -- Constrained Multi-Objective Evolutionary Algorithm -- Genetic Programming for Classification and Feature Selection -- Genetic Programming for Job Shop Scheduling -- Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems.
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| 520 |
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|a This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Computational Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/T11014
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| 650 |
2 |
4 |
|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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| 700 |
1 |
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|a Bansal, Jagdish Chand.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Singh, Pramod Kumar.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Pal, Nikhil R.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319913391
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319913407
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783030082291
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| 830 |
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 779
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-91341-4
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-INR
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| 950 |
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|a Intelligent Technologies and Robotics (Springer-42732)
|
