Nature-Inspired Methods for Metaheuristics Optimization (Record no. 75734)

000 -LEADER
fixed length control field 06214nam a22007095i 4500
001 - CONTROL NUMBER
control field 978-3-030-26458-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801213914.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200117s2020 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030264581
-- 978-3-030-26458-1
082 04 - CLASSIFICATION NUMBER
Call Number 003
245 10 - TITLE STATEMENT
Title Nature-Inspired Methods for Metaheuristics Optimization
Sub Title Algorithms and Applications in Science and Engineering /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 502 p. 252 illus., 110 illus. in color.
490 1# - SERIES STATEMENT
Series statement Modeling and Optimization in Science and Technologies,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Part I. Algorithms: 1. Genetic algorithms: A mature bio-inspired optimization technique for difficult problems -- 2. Introduction to Genetic Algorithm with a Simple Analogy -- 3. Interactive genetic algorithm to collect user perceptions. Application to the design of stemmed glasses -- 4. Differential Evolution and its application in Identification of Virus Release Location in a Sewer Line -- 5. Artificial Bee Colony Algorithm and An Application to Software Defect Prediction -- 6. Firefly Algorithm and its Applications in Engineering Optimization -- 7. Introduction to Shuffled Frog Leaping Algorithm and its Sensitivity to the Parameters of the Algorithm -- 8. Groundwater Management using Coupled Analytic Element based Transient Groundwater Flow and Optimization Model -- 9. Investigation of Bacterial Foraging Algorithm applied for PV parameter estimation, Selective harmonic elimination in inverters and optimal power flow for stability -- 10. Application of artificial immune system in Optimal Design of Irrigation Canal -- 11. Biogeography Based Optimization for Water Pump Switching Problem -- 12. Introduction to Invasive Weed Optimization Method -- 13. Single-Level Production Planning in Petrochemical Industries using Novel Computational Intelligence Algorithms -- 14. A Multi-Agent platform to support knowledge based modelling in engineering Design -- Part II. Applications: 15. Synthesis of reference trajectories for humanoid robot supported by genetic algorithm -- 16. Linked Simulation Optimization Model for Evaluation of Optimal Bank Protection Measures -- 17. A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data -- 18. Efficiency of Binary Coded Genetic Algorithm in Stability Analysis of an Earthen Slope -- 19. Corridor allocation as a constrained optimization problem using a permutation-based multi-objective genetic algorithm -- 20. The constrained single-row facility layout problem with repairing mechanisms -- 21. Geometric size optimization of annular step fin array for heat transfer by natural convection -- 22. Optimal control of saltwater intrusion in coastal aquifers using analytical approximation based on density dependent flow correction -- 23. Dynamic Nonlinear Active Noise Control. A Multi-Objective Evolutionary Computing Approach -- 24. Scheduling of Jobs on Dissimilar Parallel Machine using Computational Intelligence Algorithms -- 25. Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns -- 26. Optimization of the GIS based DRASTIC model for Groundwater Vulnerability Assessment.
520 ## - SUMMARY, ETC.
Summary, etc This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
700 1# - AUTHOR 2
Author 2 Bennis, Fouad.
700 1# - AUTHOR 2
Author 2 Bhattacharjya, Rajib Kumar.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-26458-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
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-- text
-- txt
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-- computer
-- c
-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations research.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Management science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Water.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Hydrology.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechanics, Applied.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Thermodynamics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Heat engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Heat transfer.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mass transfer.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Production engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations Research, Management Science .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Water.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Mechanics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Thermodynamics, Heat and Mass Transfer.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial and Production Engineering.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2196-7334 ;
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-- ZDB-2-SXE

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