Meta Heuristic Techniques in Software Engineering and Its Applications: METASOFT 2022: 1 (Artificial Intelligence-Enhanced Software and Systems Engineering, 1) - Hardcover

Hardcover

ISBN 10: 3031117123 ISBN 13: 9783031117121

Publisher: Springer, 2022

Synopsis

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.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2022
• Language: English
• ISBN 10: 3031117123
• ISBN 13: 9783031117121
• Binding: Hardcover
• Edition number: 1
• Number of pages: 368
• Editor: Mohanty Mihir Narayan, Das Swagatam, Ray Mitrabinda, Patra Bichitrananda