9783030264604 - Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering: 16 (Modeling and Optimization in Science and Techno... (9 resultados)

Condición: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Taschenbuch. Condición: Neu. Nature-Inspired Methods for Metaheuristics Optimization | Algorithms and Applications in Science and Engineering | Fouad Bennis (u. a.) | Taschenbuch | xiii | Englisch | 2021 | Springer | EAN 9783030264604 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 516 pp. Englisch.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on algorithms that are highly efficient in solving non-linear non-convex problemsGives practical insights into the implementation of meta-heuristic optimization algorithmsReports on applications to various real-world problems.

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. Arti¿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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 516 pp. Englisch.

Condición: New. PRINT ON DEMAND.