Meta Heuristic Techniques in Software Engineering and Its Applications is popular PDF and ePub book, written by Mihir Narayan Mohanty in 2022-10-17, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Meta Heuristic Techniques in Software Engineering and Its Applications can be Read Online from any device for your convenience.

Meta Heuristic Techniques in Software Engineering and Its Applications Book PDF Summary

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.

Detail Book of Meta Heuristic Techniques in Software Engineering and Its Applications PDF

Meta Heuristic Techniques in Software Engineering and Its Applications
  • Author : Mihir Narayan Mohanty
  • Release : 17 October 2022
  • Publisher : Springer Nature
  • ISBN : 9783031117138
  • Genre : Technology & Engineering
  • Total Page : 368 pages
  • Language : English
  • PDF File Size : 9,5 Mb

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