Ant Colony Optimization: Concepts and Techniques

By:

Haldurai, L

By:

Publication details: .: Notion Press, 2024Description: 86ISBN:

9798892774505

Subject(s):

DDC classification:

006.325 HAL

Summary: Ant Colony Optimization (ACO) stands as a remarkable testament to the inspiration that nature can provide for solving complex optimization problems. Derived from the foraging behavior of real ants, ACO has evolved into a powerful metaheuristic algorithm with wide-ranging applications in various domains. "Ant Colony Optimization: Concepts and Techniques" aims to unravel the intricacies of this algorithm, offering a comprehensive exploration of its principles, methodologies, and practical implementations.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	006.325 HAL (Browse shelf(Opens below))	4	Available	E16299
Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	006.325 HAL (Browse shelf(Opens below))	7	Available	E16302
Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	006.325 HAL (Browse shelf(Opens below))	3	Available	E16298
Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	006.325 HAL (Browse shelf(Opens below))	5	Available	E16300
Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	006.325 HAL (Browse shelf(Opens below))	9	Available	E16304
Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	006.325 HAL (Browse shelf(Opens below))	8	Available	E16303
Reference Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	658.4034 HAL (Browse shelf(Opens below))	1	Not for loan	E16296
Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	006.325 HAL (Browse shelf(Opens below))	10	Available	E16305
Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	006.325 HAL (Browse shelf(Opens below))	2	Available	E16297
Book	Alliance School of Advanced Computing	Artificial Intelligence and Machine Learning	006.325 HAL (Browse shelf(Opens below))	6	Available	E16301

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Ant Colony Optimization (ACO) stands as a remarkable testament to the inspiration that nature can provide for solving complex optimization problems. Derived from the foraging behavior of real ants, ACO has evolved into a powerful metaheuristic algorithm with wide-ranging applications in various domains. "Ant Colony Optimization: Concepts and Techniques" aims to unravel the intricacies of this algorithm, offering a comprehensive exploration of its principles, methodologies, and practical implementations.

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