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245 1 0 _aNature-Inspired Methods for Metaheuristics Optimization
_h[electronic resource] :
_bAlgorithms and Applications in Science and Engineering /
_cedited by Fouad Bennis, Rajib Kumar Bhattacharjya.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIII, 502 p. 252 illus., 110 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aModeling and Optimization in Science and Technologies,
_x2196-7334 ;
_v16
505 0 _aPart 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. Artiļ¬cial 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 _aThis 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.
650 0 _aOperations research.
_912218
650 0 _aManagement science.
_98316
650 0 _aComputational intelligence.
_97716
650 0 _aWater.
_910975
650 0 _aHydrology.
_910976
650 0 _aMechanics, Applied.
_93253
650 0 _aThermodynamics.
_93554
650 0 _aHeat engineering.
_95144
650 0 _aHeat transfer.
_932329
650 0 _aMass transfer.
_94272
650 0 _aIndustrial engineering.
_931641
650 0 _aProduction engineering.
_93683
650 1 4 _aOperations Research, Management Science .
_931720
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aWater.
_910975
650 2 4 _aEngineering Mechanics.
_931830
650 2 4 _aEngineering Thermodynamics, Heat and Mass Transfer.
_932330
650 2 4 _aIndustrial and Production Engineering.
_931644
700 1 _aBennis, Fouad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935111
700 1 _aBhattacharjya, Rajib Kumar.
_eeditor.
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_935112
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030264574
776 0 8 _iPrinted edition:
_z9783030264598
776 0 8 _iPrinted edition:
_z9783030264604
830 0 _aModeling and Optimization in Science and Technologies,
_x2196-7334 ;
_v16
_935114
856 4 0 _uhttps://doi.org/10.1007/978-3-030-26458-1
912 _aZDB-2-ENG
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