Meta Heuristic Techniques in Software Engineering and Its Applications METASOFT 2022

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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.

Book details

Edition:
1st ed. 2022
Series:
Artificial Intelligence-Enhanced Software and Systems Engineering (Book 1)
Author:
Mihir Narayan Mohanty, Swagatam Das, Mitrabinda Ray, Bichitrananda Patra
ISBN:
9783031117138
Related ISBNs:
9783031117121
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2022-11-18
Usage restrictions:
Copyright
Copyright date:
2022
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction, Technology