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New Bio Inspired Optimization Algorithm by Caraveo Camilo (12 results)
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US$ 59.16
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
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A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature (SpringerBriefs in Applied Sciences and Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 68.61
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A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030055507 ISBN 13: 9783030055509
Language: English
US$ 64.15
Convert currencyUS$ 33.29 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator-prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.
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A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
Published by Springer-Verlag New York Inc, 2019
ISBN 10: 3030055507 ISBN 13: 9783030055509
Language: English
US$ 87.42
Convert currencyUS$ 13.45 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 68 pages. 9.25x6.10x0.28 inches. In Stock.
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A New Bio-Inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
Published by Springer International Publishing, 2019
ISBN 10: 3030055507 ISBN 13: 9783030055509
Language: English
US$ 58.01
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A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
Published by Springer International Publishing, Springer Nature Switzerland Jan 2019, 2019
ISBN 10: 3030055507 ISBN 13: 9783030055509
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 64.15
Convert currencyUS$ 64.05 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator¿prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 68 pp. Englisch.
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A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
Published by Springer International Publishing Jan 2019, 2019
ISBN 10: 3030055507 ISBN 13: 9783030055509
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 64.15
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator-prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm. 68 pp. Englisch.
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