Bio-Inspired Intelligence for Smart Decision-Making

Name: Bio-Inspired Intelligence for Smart Decision-Making
Brand: IGI Global
SKU: 9798369352762
Price: 426.28 EUR
Availability: InStock

Автор: Ram Krishan, Shilpa Mehta

Език:

Корици: С твърди корици

Издател: IGI Global

Наличност: Външен склад

Изпращаме след 10-18 дни

426.28 € 833.72 лв

In today's complex and fast-paced world, decision-making is critical to problem-solving across indus...

Информация за книгата

Автор

Ram Krishan, Shilpa Mehta

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2024

страници

364

EAN

9798369352762

Enbook ID

46075071

Издател

IGI Global

Теглоt

881

Размери

183 x 260 x 24

Пълно описание

In today's complex and fast-paced world, decision-making is critical to problem-solving across industries and academia. However, traditional optimization techniques often need help to cope with the challenges posed by dynamic and intricate environments. This limitation hampers decision-makers' ability to tackle complex problems and seize opportunities effectively. As such, there is a pressing need for innovative approaches that can enhance decision-making processes, enabling individuals and organizations to navigate uncertainty and achieve optimal outcomes. Bio-Inspired Intelligence for Smart Decision-Making offers a compelling solution to this challenge. By exploring the intersection of bio-inspired optimization techniques and decision-making, this book presents a fresh perspective that can revolutionize decisions. The book introduces readers to powerful bio-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies through a multidisciplinary lens that encompasses computer science, artificial intelligence, optimization, and decision science. These algorithms mimic natural systems' efficiency and adaptability, offering a robust framework for researchers, graduate students, and professionals who are addressing complex decision-making problems in diverse fields.

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Информация за книгата

Пълно описание

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