Meta Heuristic Techniques in Software Engineering and Its Applications

METASOFT 2022 de

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Description

This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.
Pages
358 pages
Collection
Artificial Intelligence-Enhanced Software and Systems Engineering
Parution
2022-10-17
Marque
Springer
EAN papier
9783031117121
EAN PDF
9783031117138

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
41605 Ko
Prix
147,69 €
EAN EPUB
9783031117138

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
49070 Ko
Prix
147,69 €