Meta Heuristic Techniques in Software Engineering and Its Applications

Meta Heuristic Techniques in Software Engineering and Its Applications
Author :
Publisher : Springer Nature
Total Pages : 368
Release :
ISBN-10 : 9783031117138
ISBN-13 : 3031117131
Rating : 4/5 (131 Downloads)

Book Synopsis Meta Heuristic Techniques in Software Engineering and Its Applications by : Mihir Narayan Mohanty

Download or read book Meta Heuristic Techniques in Software Engineering and Its Applications written by Mihir Narayan Mohanty and published by Springer Nature. This book was released on 2022-10-17 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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