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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Metaheuristic Optimization Algorithms: For Local Techniques, Global Techniques, and Hybrid Techniques

Metaheuristic Optimization Algorithms: For Local Techniques, Global Techniques, and Hybrid Techniques

Kumar, Kaushik
Kumar Singh, Ritesh
Tiwari, Sanjiv Kumar

Paperback

Series: de Gruyter Stem

Technology & EngineeringGeneral ComputersProgramming

Publisher Price: $98.99

PREORDER - Expected ship date October 5, 2026

ISBN10: 311914813X
ISBN13: 9783119148139
Publisher: de Gruyter
Published: Oct 5 2026
Pages: 310
Language: English

The field of metaheuristic optimization has experienced a surge in novel algorithmic developments in recent years, yet there is a lack of consolidated resources focusing on these innovations, especially their categorization and applications in solving real-world problems. This work fills the gap by categorizing and detailing the most recently developed metaheuristic optimization algorithms into local, global, and hybrid methods. The authors explore various optimization algorithms like Runge Kutta Optimization, Manta Ray Foraging Optimization, and Hybrid Marine Predators Algorithm, explaining their mechanisms, pseudocode, and advantages. It also provides case studies to demonstrate their practical applications in fields like supply chain management, robotics, energy optimization, and so on. Thus, the work bridges the gap between theory and application, offering insights that will inspire further innovation and practical implementation of modern optimization techniques.

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