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Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft
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Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft 2022 Hardback -

by Mihir Narayan Mohanty (Editor); Swagatam Das (Editor); Mitrabinda Ray (Editor)

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From the publisher

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.

From the rear 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.

Details

  • Title Meta Heuristic Techniques in Software Engineering and Its Applications: Metasoft 2022
  • Author Mihir Narayan Mohanty (Editor); Swagatam Das (Editor); Mitrabinda Ray (Editor)
  • Binding Hardback
  • Pages 358
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • ISBN 9783031117121 / 3031117123
  • Weight 1.58 lbs (0.72 kg)
  • Category Technology & Industrial Arts

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Meta Heuristic Techniques in Software Engineering and Its Applications: METASOFT 2022
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Meta Heuristic Techniques in Software Engineering and Its Applications: METASOFT 2022

by Mohanty, Mihir Narayan (Edited by)/ Das, Swagatam (Edited by)/ Ray, Mitrabinda (Edited by)/ Patra, Bichitrananda (Edited by)

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Springer, 2022. Hardcover. New. 368 pages. 9.25x6.10x1.02 inches.
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Meta Heuristic Techniques in Software Engineering and Its Applications: METASOFT 2022 (Artificial...
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Meta Heuristic Techniques in Software Engineering and Its Applications: METASOFT 2022 (Artificial Intelligence-Enhanced Software and Systems Engineering, 1)

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1st ed. 2022 edition NO-PA16APR2015-KAP. Hardback. New.
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Meta Heuristic Techniques in Software Engineering and Its Applications
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Meta Heuristic Techniques in Software Engineering and Its Applications

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  • Hardback
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Used
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2022
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Hardcover
ISBN 10 / ISBN 13
9783031117121 / 3031117123
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1
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Springer, 2022. 2022. Hardcover. Meta Heuristic Techniques in Software Engineering and Its Applications Meta Heuristic Techniques in Software Engineering and Its Applications
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A$595.78
A$33.03 Delivery to USA