Name: Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft 2022 (en Inglés)
Price: 477.74 PEN
Availability: InStock
Author: Mohanty, Mihir Narayan ; Das, Swagatam ; Ray, Mitrabinda
ISBN: 9783031117121

portada Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft 2022 (en Inglés)

Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft 2022 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Mohanty, Mihir Narayan ; Das, Swagatam ; Ray, Mitrabinda

Idioma

Inglés

N° páginas

358

Encuadernación

Tapa Dura

ISBN13

9783031117121

Categorías

Ingeniería: general
Programación informática/desarrollo de software
Inteligencia artificial

Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft 2022 (en Inglés)

Mohanty, Mihir Narayan ; Das, Swagatam ; Ray, Mitrabinda (Autor) · Springer · Tapa Dura

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Reseña del libro "Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft 2022 (en Inglés)"

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.