Advanced Metaheuristics for Scheduling in Distributed Manufacturing Systems

Name: Advanced Metaheuristics for Scheduling in Distributed Manufacturing Systems
Brand: IGI GLOBAL SCIENTIFIC PUBLISHING
SKU: 9798337331362
Price: 78699 HUF
Availability: InStock

Szerző: Mohamed Lahby

Nyelv:

Kötés: Kemény kötésű

Kiadó: IGI GLOBAL SCIENTIFIC PUBLISHING

Elérhetőség: Beszállítói készleten

Küldés 10-18 napon belül

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Distributed manufacturing systems have become increasingly complex, requiring more sophisticated app...

Információk a könyvről

Szerző

Mohamed Lahby

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2025

oldal

374

EAN

9798337331362

Enbook ID

50108716

Kiadó

IGI GLOBAL SCIENTIFIC PUBLISHING

Súly

897

Méretek

183 x 260 x 25

Teljes leírás

Distributed manufacturing systems have become increasingly complex, requiring more sophisticated approaches to manage the challenges of scheduling. Traditional methods have fallen short in handling the dynamic and large-scale challenges in these manufacturing environments. Using metaheuristic algorithms such as genetic algorithms, particle swarm optimization, and hybrid approaches offer a powerful solution in optimizing scheduling tasks. These advanced techniques can enhance flexibility and responsiveness. Advanced Metaheuristics for Scheduling in Distributed Manufacturing Systems provides an in-depth examination of advanced metaheuristic algorithms, addressing fundamental theoretical concepts, emerging challenges, and practical case studies that illustrate their real-world applicability. Special attention is given to how these techniques enhance decision-making in distributed settings, improve resource allocation, and adapt to dynamic production constraints. Covering topics such as artificial intelligence, manufacturing schedules, and supply chain optimization, this book is an excellent resource for researchers, academicians, industry practitioners, engineers, data scientists, graduate and postgraduate students, and more.

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Advanced Metaheuristics for Scheduling in Distributed Manufacturing Systems

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Teljes leírás

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