Optimization Techniques Mathematical Modeling (24 results)
- Hardcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
Contact seller5-star sellerCondition: Used - Good
US$ 14.16
US$ 18.29 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780471941927.
- Hardcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
Contact seller5-star sellerCondition: Used - Good
US$ 58.78
US$ 18.29 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780471956778.
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
Contact seller5-star sellerCondition: Used - Fine
US$ 9.06
US$ 120.12 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
Contact seller5-star sellerCondition: Used - Fine
US$ 19.88
US$ 120.12 shippingShips from Germany to U.S.A.Quantity: 2 available
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 205.52
US$ 3.99 shippingShips within U.S.A.Quantity: 1 available
Condition: New. 1st edition NO-PA16APR2015-KAP.
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 213.93
US$ 8.74 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: New.
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 228.28
US$ 11.38 shippingShips from Germany to U.S.A.Quantity: 1 available
Condition: New.
Artificial Intelligence Techniques in Mathematical Modeling and Optimization
Awasthi, Mukesh Kumar (EDT); Kumar, Sanoj (EDT); Saini, Deepika (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 260.30
US$ 2.64 shippingShips within U.S.A.Quantity: 10 available
Condition: As New. Unread book in perfect condition.
Artificial Intelligence Techniques in Mathematical Modeling and Optimization
Awasthi, Mukesh Kumar (EDT); Kumar, Sanoj (EDT); Saini, Deepika (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
US$ 268.08
US$ 2.64 shippingShips within U.S.A.Quantity: 10 available
Condition: New.
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
US$ 277.00
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
Artificial Intelligence Techniques in Mathematical Modeling and Optimization
Awasthi, Mukesh Kumar (EDT); Kumar, Sanoj (EDT); Saini, Deepika (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 267.59
US$ 20.18 shippingShips from United Kingdom to U.S.A.Quantity: 10 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
US$ 283.00
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Condition: New.
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 275.95
US$ 8.74 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
Condition: New.
- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
US$ 291.09
US$ 7.90 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Artificial Intelligence Techniques in Mathematical Modeling and Optimization
Awasthi, Mukesh Kumar (EDT); Kumar, Sanoj (EDT); Saini, Deepika (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 283.57
US$ 20.18 shippingShips from United Kingdom to U.S.A.Quantity: 10 available
Condition: New.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 297.64
US$ 3.99 shippingShips within U.S.A.Quantity: 3 available
Condition: New.
- Hardcover
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 280.43
US$ 56.04 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New.
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 329.15
US$ 11.38 shippingShips from Germany to U.S.A.Quantity: 3 available
Condition: New.
Artificial Intelligence Techniques in Mathematical Modeling and Optimization
Awasthi, Mukesh Kumar (Editor)/ Kumar, Sanoj (Editor)/ Saini, Deepika (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 373.87
US$ 16.81 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 472 pages. 9.18x6.12x9.45 inches. In Stock.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 388.84
US$ 72.42 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. Neuware - Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling. This edited volume brings together innovative research exploring how AI-driven methods revoluti…onize traditional approaches to complex optimization problems, enabling enhanced performance, interpretability, and real-world applicability across diverse domains.Covering foundational and advanced topics, the book introduces readers to machine learning, deep learning, and reinforcement learning as critical tools for modeling high-dimensional, nonlinear, and stochastic systems. Chapters delve into essential aspects like data pre-processing, feature engineering, neural network architectures, swarm intelligence, quantum optimization, and multi-objective decision-making. Emerging techniques such as Fire Hawk Optimization Plus (FHO+), hybrid deep learning-quantum frameworks, and explainable AI (XAI) are discussed in the context of real-world scenarios ranging from energy systems and manufacturing to disaster prediction and healthcare analytics.This volume uniquely bridges theory and application by integrating algorithmic strategies with case studies on predictive maintenance, renewable energy optimization, cyclone detection, heart disease prediction, and postpartum mental health risk assessment. It also investigates the role of circular economy principles in inventory optimization and examines future trends including neuromorphic computing and ethical AI.Key Features: Systematic exploration of AI-based optimization in mathematical modeling. In-depth coverage of ML/DL methods, quantum algorithms, and nature-inspired techniques. Practical applications in industrial manufacturing, healthcare, smart energy, and environmental resilience. Detailed discussions on model training, generalization, hyperparameter tuning, and overfitting control. Includes practical tools such as AutoML, PINNs, CNNs, and quantum convolutional networks. Forward-looking insights into sustainable optimization, interpretability, and autonomous AI systems.This volume is an essential resource for graduate students, researchers, and practitioners in applied mathematics, computer science, engineering, and data-driven optimization, offering the theoretical depth and application-driven clarity needed to tackle modern scientific and engineering challenges through AI-powered modeling and decision systems.
Published by J. Wiley, 1993-1994., Chichester, 1993
- Hardcover
Seller: Magdeburger Antiquariat, Magdeburg, ST, GermanyMagdeburger Antiquariat
Contact seller5-star sellerCondition: Used
US$ 53.02
US$ 85.80 shippingShips from Germany to U.S.A.Quantity: 1 available
2 Bände. Mit zahlr. Tabellen u. Abbildungen. 4to. In 2 Opbd.-Bänden. 280 S.; 214 S. Sehr gute Exemplare.
- Hardcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
US$ 219.28
Free ShippingShips within U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling. This edited volume brings together innovative research exploring how AI-driven methods re…volutionize traditional approaches to complex optimization problems, enabling enhanced performance, interpretability, and real-world applicability across diverse domains.Covering foundational and advanced topics, the book introduces readers to machine learning, deep learning, and reinforcement learning as critical tools for modeling high-dimensional, nonlinear, and stochastic systems. Chapters delve into essential aspects like data pre-processing, feature engineering, neural network architectures, swarm intelligence, quantum optimization, and multi-objective decision-making. Emerging techniques such as Fire Hawk Optimization Plus (FHO+), hybrid deep learning-quantum frameworks, and explainable AI (XAI) are discussed in the context of real-world scenarios ranging from energy systems and manufacturing to disaster prediction and healthcare analytics.This volume uniquely bridges theory and application by integrating algorithmic strategies with case studies on predictive maintenance, renewable energy optimization, cyclone detection, heart disease prediction, and postpartum mental health risk assessment. It also investigates the role of circular economy principles in inventory optimization and examines future trends including neuromorphic computing and ethical AI.Key Features: Systematic exploration of AI-based optimization in mathematical modeling. In-depth coverage of ML/DL methods, quantum algorithms, and nature-inspired techniques. Practical applications in industrial manufacturing, healthcare, smart energy, and environmental resilience. Detailed discussions on model training, generalization, hyperparameter tuning, and overfitting control. Includes practical tools such as AutoML, PINNs, CNNs, and quantum convolutional networks. Forward-looking insights into sustainable optimization, interpretability, and autonomous AI systems.This volume is an essential resource for graduate students, researchers, and practitioners in applied mathematics, computer science, engineering, and data-driven optimization, offering the theoretical depth and application-driven clarity needed to tackle modern scientific and engineering challenges through AI-powered modeling and decision systems. Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 220.96
US$ 49.77 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling. This edited volume brings together innovative research exploring how AI-driven methods re…volutionize traditional approaches to complex optimization problems, enabling enhanced performance, interpretability, and real-world applicability across diverse domains.Covering foundational and advanced topics, the book introduces readers to machine learning, deep learning, and reinforcement learning as critical tools for modeling high-dimensional, nonlinear, and stochastic systems. Chapters delve into essential aspects like data pre-processing, feature engineering, neural network architectures, swarm intelligence, quantum optimization, and multi-objective decision-making. Emerging techniques such as Fire Hawk Optimization Plus (FHO+), hybrid deep learning-quantum frameworks, and explainable AI (XAI) are discussed in the context of real-world scenarios ranging from energy systems and manufacturing to disaster prediction and healthcare analytics.This volume uniquely bridges theory and application by integrating algorithmic strategies with case studies on predictive maintenance, renewable energy optimization, cyclone detection, heart disease prediction, and postpartum mental health risk assessment. It also investigates the role of circular economy principles in inventory optimization and examines future trends including neuromorphic computing and ethical AI.Key Features: Systematic exploration of AI-based optimization in mathematical modeling. In-depth coverage of ML/DL methods, quantum algorithms, and nature-inspired techniques. Practical applications in industrial manufacturing, healthcare, smart energy, and environmental resilience. Detailed discussions on model training, generalization, hyperparameter tuning, and overfitting control. Includes practical tools such as AutoML, PINNs, CNNs, and quantum convolutional networks. Forward-looking insights into sustainable optimization, interpretability, and autonomous AI systems.This volume is an essential resource for graduate students, researchers, and practitioners in applied mathematics, computer science, engineering, and data-driven optimization, offering the theoretical depth and application-driven clarity needed to tackle modern scientific and engineering challenges through AI-powered modeling and decision systems. Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
US$ 373.66
US$ 37.00 shippingShips from Australia to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling. This edited volume brings together innovative research exploring how AI-driven methods re…volutionize traditional approaches to complex optimization problems, enabling enhanced performance, interpretability, and real-world applicability across diverse domains.Covering foundational and advanced topics, the book introduces readers to machine learning, deep learning, and reinforcement learning as critical tools for modeling high-dimensional, nonlinear, and stochastic systems. Chapters delve into essential aspects like data pre-processing, feature engineering, neural network architectures, swarm intelligence, quantum optimization, and multi-objective decision-making. Emerging techniques such as Fire Hawk Optimization Plus (FHO+), hybrid deep learning-quantum frameworks, and explainable AI (XAI) are discussed in the context of real-world scenarios ranging from energy systems and manufacturing to disaster prediction and healthcare analytics.This volume uniquely bridges theory and application by integrating algorithmic strategies with case studies on predictive maintenance, renewable energy optimization, cyclone detection, heart disease prediction, and postpartum mental health risk assessment. It also investigates the role of circular economy principles in inventory optimization and examines future trends including neuromorphic computing and ethical AI.Key Features: Systematic exploration of AI-based optimization in mathematical modeling. In-depth coverage of ML/DL methods, quantum algorithms, and nature-inspired techniques. Practical applications in industrial manufacturing, healthcare, smart energy, and environmental resilience. Detailed discussions on model training, generalization, hyperparameter tuning, and overfitting control. Includes practical tools such as AutoML, PINNs, CNNs, and quantum convolutional networks. Forward-looking insights into sustainable optimization, interpretability, and autonomous AI systems.This volume is an essential resource for graduate students, researchers, and practitioners in applied mathematics, computer science, engineering, and data-driven optimization, offering the theoretical depth and application-driven clarity needed to tackle modern scientific and engineering challenges through AI-powered modeling and decision systems. Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
