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Math Optimization for Artificial Intelligence
book

Math Optimization for Artificial Intelligence

by Umesh Kumar Lilhore, Vishal Dutt, T. Ananth Kumar, Martin Margala, Kaamran Raahemifar
April 2025
Intermediate to advanced
430 pages
14h 52m
English
De Gruyter
Content preview from Math Optimization for Artificial Intelligence

10 Hybrid Mathematical Optimization Techniques in AI

Umesh Kumar Lilhore
Sarita Simaiya
Surjeet Dalal

Abstract

This chapter covers hybrid mathematical optimization techniques in artificial intelligence (AI) to overcome local minima and slow convergence. Hybrid methods improve performance and robustness by combining multiple optimization strategies. The chapter divides hybridization into serial, parallel, and adaptive methods. Serial hybridization uses genetic algorithms (GA) for broad exploration and gradient descent for fine-tuning. Multiple algorithms run simultaneously in parallel hybridization, improving search diversity and robustness. Problem characteristics drive adaptive hybridization strategy adjustments. GA with gradient descent ...

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Publisher Resources

ISBN: 9783111436241