Initialization Diversity Optimization Algorithms by Oliva Diego (13 results)

Initialization and Diversity in Optimization Algorithms
Oliva, Diego; Cisneros, Marco Antonio Perez; Morales-castañeda, Bernardo; Velázquez, Mario A. Navarro
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Initialization and Diversity in Optimization Algorithms
Oliva, Diego; Cisneros, Marco Antonio Perez; Morales-castañeda, Bernardo; Velázquez, Mario A. Navarro
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Initialization and Diversity in Optimization Algorithms
Oliva, Diego; Cisneros, Marco Antonio Perez; Morales-castañeda, Bernardo; Velázquez, Mario A. Navarro
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 148.13
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Condition: As New. Unread book in perfect condition.

Initialization and Diversity in Optimization Algorithms
Oliva, Diego; Cisneros, Marco Antonio Perez; Morales-castañeda, Bernardo; Velázquez, Mario A. Navarro
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 144.01
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Condition: As New. Unread book in perfect condition.

- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, , United KingdomTHE SAINT BOOKSTORE
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Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Initialization and Diversity in Optimization Algorithms
Oliva, Diego; Cisneros, Marco Antonio Perez; Morales-Castañeda, Bernardo; Velázquez, Mario A. Navarro
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Initialization and Diversity in Optimization Algorithms
Oliva, Diego; Cisneros, Marco Antonio Perez; Morales-Castañeda, Bernardo; Velázquez, Mario A. Navarro
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Hardcover
Seller: moluna, Greven, , Germanymoluna
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- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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£ 209.28
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Hardcover. Condition: Brand New. 238 pages. 9.18x6.12x9.45 inches. In Stock.

- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Hardcover. Condition: new. Hardcover. Designing new algorithms in swarm intelligence is a complex undertaking. Two critical factors have been seen to have a direct correlation with positive results. First is initialization, which serves as the initial step for all swarm intelligence techniques. Candidate solutions are generated…to form the initial population, which are subsequently modified during the iterative process. A well-initialized population increases the algorithm's chances of avoiding local optima and finding the global optimum in fewer iterations. Although random distributions are commonly used for initialization, there are various ways to initialize the population elements.Maintaining diversity among the population elements throughout the iterative process is also essential. This diversity facilitates a more thorough and efficient exploration of the search space. In swarm intelligence algorithms, there are multiple methods to measure diversity, each with its own advantages and disadvantages.This book presents the theory behind the initialization process and the different mechanisms. Additionally, it includes a comparative study of various diversity indicators. It explores different methodologies to compute its value and explains how it can be incorporated as a mechanism for deciding when to apply operators during the optimization process. Multiple examples are provided in the book using two classical algorithms: Differential Evolution and Particle Swarm Optimization. It includes MATLAB code and offers several exercises that readers can use for experimentation and design purposes. This book delves into designing effective swarm intelligence algorithms, focusing on two critical aspects: initialization and diversity. It explores various initialization techniques, emphasizing their role in avoiding local optima and accelerating convergence. 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: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 168.96
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HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book delves into designing effective swarm intelligence algorithms, focusing on two critical aspects: initialization and diversity. It explores various initialization techniques, emphasizing their role in avoiding local optima and accelera…ting convergence.

- Hardcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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£ 228.79
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Hardcover. Condition: new. Hardcover. Designing new algorithms in swarm intelligence is a complex undertaking. Two critical factors have been seen to have a direct correlation with positive results. First is initialization, which serves as the initial step for all swarm intelligence techniques. Candidate solutions are generated…to form the initial population, which are subsequently modified during the iterative process. A well-initialized population increases the algorithm's chances of avoiding local optima and finding the global optimum in fewer iterations. Although random distributions are commonly used for initialization, there are various ways to initialize the population elements.Maintaining diversity among the population elements throughout the iterative process is also essential. This diversity facilitates a more thorough and efficient exploration of the search space. In swarm intelligence algorithms, there are multiple methods to measure diversity, each with its own advantages and disadvantages.This book presents the theory behind the initialization process and the different mechanisms. Additionally, it includes a comparative study of various diversity indicators. It explores different methodologies to compute its value and explains how it can be incorporated as a mechanism for deciding when to apply operators during the optimization process. Multiple examples are provided in the book using two classical algorithms: Differential Evolution and Particle Swarm Optimization. It includes MATLAB code and offers several exercises that readers can use for experimentation and design purposes. This book delves into designing effective swarm intelligence algorithms, focusing on two critical aspects: initialization and diversity. It explores various initialization techniques, emphasizing their role in avoiding local optima and accelerating convergence. 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.