Nature Inspired Methods Metaheuristics Optimization (18 results)

Hardcover. Condition: new. Hardcover. 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. This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. pp. XIII, 502 252 illus., 110 illus. in color. 1 Edition NO-PA16APR2015-KAP.

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

Taschenbuch. Condition: 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.

Buch. Condition: 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.

Hardcover. Condition: Brand New. 502 pages. 9.25x6.10x1.20 inches. In Stock.

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

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

Buch. Condition: 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.

Taschenbuch. Condition: 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.

Gebunden. Condition: 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.

Kartoniert / Broschiert. Condition: 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.

Condition: New. Print on Demand pp. XIII, 502 252 illus., 110 illus. in color.

Buch. Condition: 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. Artiżcial 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.

Taschenbuch. Condition: 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. Artiżcial 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.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND pp. XIII, 502 252 illus., 110 illus. in color.

Condition: New. PRINT ON DEMAND.