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|a TXAM
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|a Evolutionary multi-objective system design :
|b theory and applications /
|c edited by Nadia Nedjah, Luiza De Macedo Mourelle, Heitor Silverio Lopes.
|
| 264 |
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1 |
|a Boca Raton :
|b CRC Press,
|c 2018.
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| 300 |
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|a 1 online resource (xxiii, 217 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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1 |
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|a Chapman & Hall/CRC computer and information science series
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| 504 |
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|a Includes bibliographical references and index.
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| 520 |
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|a Real-world engineering problems often require concurrent optimization of several design objectives, which are conflicting in cases. This type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems. Generally, multi-objective engineering problems do not have a straightforward optimal design. These kinds of problems usually inspire several solutions of equal efficiency, which achieve different trade-offs. Decision makers' preferences are normally used to select the most adequate design. Such preferences may be dictated before or after the optimization takes place. They may also be introduced interactively at different levels of the optimization process. Multi-objective optimization methods can be subdivided into classical and evolutionary. The classical methods usually aim at a single solution while the evolutionary methods provide a whole set of so-called Pareto-optimal solutions. Evolutionary Multi-Objective System Design: Theory and Applications provides a representation of the state-of-the-art in evolutionary multi-objective optimization research area and related new trends. It reports many innovative designs yielded by the application of such optimization methods. It also presents the application of multi-objective optimization to the following problems: Embrittlement of stainless steel coated electrodes Learning fuzzy rules from imbalanced datasets Combining multi-objective evolutionary algorithms with collective intelligence Fuzzy gain scheduling control Smart placement of roadside units in vehicular networks Combining multi-objective evolutionary algorithms with quasi-simplex local search Design of robust substitution boxes Protein structure prediction problem Core assignment for efficient network-on-chip-based system design
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| 545 |
0 |
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|a Nadia Nedjah, Luiza De Macedo Mourelle, Heitor Silverio Lopes
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| 588 |
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|a Print version record.
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| 650 |
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0 |
|a Computational intelligence.
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| 650 |
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|a Evolutionary computation.
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| 650 |
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|a Mathematical optimization.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Machine learning.
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2 |
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2 |
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| 650 |
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|a Intelligence informatique.
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| 650 |
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|a Réseaux neuronaux à structure évolutive.
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| 650 |
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|a Optimisation mathématique.
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| 650 |
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|a Intelligence artificielle.
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| 650 |
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6 |
|a Apprentissage automatique.
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| 650 |
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|a Exploration de données (Informatique)
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| 650 |
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|a artificial intelligence.
|2 aat
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|a COMPUTERS
|x Computer Graphics
|x Game Programming & Design.
|2 bisacsh
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| 650 |
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7 |
|a COMPUTERS
|x Machine Theory.
|2 bisacsh
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| 650 |
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7 |
|a COMPUTERS
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|a Artificial intelligence
|2 fast
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| 650 |
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|a Computational intelligence
|2 fast
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|
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|a Data mining
|2 fast
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| 650 |
|
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|a Evolutionary computation
|2 fast
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|
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|a Machine learning
|2 fast
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| 650 |
|
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|a Mathematical optimization
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| 655 |
|
7 |
|a Electronic books.
|2 local
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| 700 |
1 |
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|a Nedjah, Nadia,
|e editor.
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| 700 |
1 |
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|a Macedo Mourelle, Luiza de,
|e editor.
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| 700 |
1 |
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|a Lopes, Heitor Silvério,
|e editor.
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| 710 |
2 |
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|a Taylor & Francis.
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| 758 |
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|i has work:
|a Evolutionary multi-objective system design (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGcK8yQgrw4p834h9WQtTd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|t Evolutionary multi-objective system design.
|d Boca Raton : Chapman & Hall/CRC, 2018
|z 1498780288
|w (OCoLC)1031872941
|
| 830 |
|
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|a Chapman & Hall/CRC computer and information science series.
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| 856 |
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|u http://proxy.library.tamu.edu/login?url=https://www.taylorfrancis.com/books/9781315366845
|z Connect to the full text of this electronic book
|t 0
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|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
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|e QA76.618 .E96 2018eb
|h Library of Congress classification
|
| 998 |
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