The Resource Applications of Metaheuristics in Process Engineering, edited by Jayaraman Valadi, Patrick Siarry, (electronic resource)

Applications of Metaheuristics in Process Engineering, edited by Jayaraman Valadi, Patrick Siarry, (electronic resource)

Label
Applications of Metaheuristics in Process Engineering
Title
Applications of Metaheuristics in Process Engineering
Statement of responsibility
edited by Jayaraman Valadi, Patrick Siarry
Contributor
Editor
Editor
Subject
Language
  • eng
  • eng
Summary
Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization, and mixed integer optimization. They are thus beginning to play a key role in different industrially important process engineering applications, among them the synthesis of heat and mass exchange equipment, synthesis of distillation columns, and static and dynamic optimization of chemical and bioreactors. This book explains cutting-edge research techniques in related computational intelligence domains and their applications in real-world process engineering. It will be of interest to industrial practitioners and research academics
Dewey number
660.28
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • JB5CLZsUm4c
  • ZjxEHo2GyYI
Language note
English
LC call number
Q334-342
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Valadi, Jayaraman.
  • Siarry, Patrick.
http://library.link/vocab/subjectName
  • Artificial intelligence
  • Computational intelligence
  • Chemical engineering
  • Artificial Intelligence
  • Computational Intelligence
  • Industrial Chemistry/Chemical Engineering
Label
Applications of Metaheuristics in Process Engineering, edited by Jayaraman Valadi, Patrick Siarry, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Metaheuristics in Process Engineering: A Historical Perspective -- Applications of Genetic Algorithms in Chemical Engineering I: Methodology -- Applications of Genetic Algorithms in Chemical Engineering II: Case Studies -- Strategies for Evolutionary Data-Driven Modeling in Chemical and Metallurgical Systems -- Swarm Intelligence in Pulp and Paper Process Optimization -- Particle Swarm Optimization Technique for Optimal Design of Plate Type Distillation Column -- Reliable Optimal Control of a Fed-Batch Fermentation Process Using Ant Colony Optimisation and Bootstrap Aggregated Neural Network Models -- Biogeography-Based Optimization (BBO) for Dynamic Optimization of Chemical Reactors -- Biogeography-Based Optimization (BBO) Algorithm for Optimization of Heat Exchangers -- Optimization Heuristics Mimicking Chemical Processes -- In Silico Maturation: Processing Sequences to Improve Biopolymer Function Based on Genetic Algorithms -- Molecular Engineering of Electrically Conducting Polymers Using Artificial Intelligence Methods -- Applications of Genetic Algorithms in QSAR/QSPR Modeling -- Genetic Algorithms in Drug Design: A Not So Old Story in a Newer Bottle -- Multi objective Genetic Algorithms for Chemical Engineering Applications -- A Multi objective Modelling and Optimization Framework for Operations Management of a Fresh Fruit Supply Chain: A Case Study on a Mexican Lime Company -- Jumping Gene Adaptations of NSGA-II with Altruism Approach: Performance Comparison and Application to Williams-Otto Process -- Hybrid Approach for Multi objective Optimization and Its Application to Process Engineering Problems
Dimensions
unknown
Edition
1st ed. 2014.
Extent
1 online resource (451 p.)
Form of item
online
Isbn
9783319065083
Media category
computer
Media type code
  • c
Other control number
10.1007/978-3-319-06508-3
Specific material designation
remote
System control number
  • (CKB)3710000000218693
  • (EBL)1802918
  • (SSID)ssj0001338428
  • (PQKBManifestationID)11994227
  • (PQKBTitleCode)TC0001338428
  • (PQKBWorkID)11337592
  • (PQKB)10112392
  • (MiAaPQ)EBC1802918
  • (DE-He213)978-3-319-06508-3
  • (EXLCZ)993710000000218693
Label
Applications of Metaheuristics in Process Engineering, edited by Jayaraman Valadi, Patrick Siarry, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Metaheuristics in Process Engineering: A Historical Perspective -- Applications of Genetic Algorithms in Chemical Engineering I: Methodology -- Applications of Genetic Algorithms in Chemical Engineering II: Case Studies -- Strategies for Evolutionary Data-Driven Modeling in Chemical and Metallurgical Systems -- Swarm Intelligence in Pulp and Paper Process Optimization -- Particle Swarm Optimization Technique for Optimal Design of Plate Type Distillation Column -- Reliable Optimal Control of a Fed-Batch Fermentation Process Using Ant Colony Optimisation and Bootstrap Aggregated Neural Network Models -- Biogeography-Based Optimization (BBO) for Dynamic Optimization of Chemical Reactors -- Biogeography-Based Optimization (BBO) Algorithm for Optimization of Heat Exchangers -- Optimization Heuristics Mimicking Chemical Processes -- In Silico Maturation: Processing Sequences to Improve Biopolymer Function Based on Genetic Algorithms -- Molecular Engineering of Electrically Conducting Polymers Using Artificial Intelligence Methods -- Applications of Genetic Algorithms in QSAR/QSPR Modeling -- Genetic Algorithms in Drug Design: A Not So Old Story in a Newer Bottle -- Multi objective Genetic Algorithms for Chemical Engineering Applications -- A Multi objective Modelling and Optimization Framework for Operations Management of a Fresh Fruit Supply Chain: A Case Study on a Mexican Lime Company -- Jumping Gene Adaptations of NSGA-II with Altruism Approach: Performance Comparison and Application to Williams-Otto Process -- Hybrid Approach for Multi objective Optimization and Its Application to Process Engineering Problems
Dimensions
unknown
Edition
1st ed. 2014.
Extent
1 online resource (451 p.)
Form of item
online
Isbn
9783319065083
Media category
computer
Media type code
  • c
Other control number
10.1007/978-3-319-06508-3
Specific material designation
remote
System control number
  • (CKB)3710000000218693
  • (EBL)1802918
  • (SSID)ssj0001338428
  • (PQKBManifestationID)11994227
  • (PQKBTitleCode)TC0001338428
  • (PQKBWorkID)11337592
  • (PQKB)10112392
  • (MiAaPQ)EBC1802918
  • (DE-He213)978-3-319-06508-3
  • (EXLCZ)993710000000218693

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