Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems
Core Reference Title

Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems

Shi Cheng (Shaanxi Normal University, China) and Yuhui Shi (Southern University of Science and Technology, China)
Release Date: April, 2020|Copyright: © 2020 |Pages: 482
ISBN13: 9781799832225|ISBN10: 1799832228|EISBN13: 9781799832249|DOI: 10.4018/978-1-7998-3222-5

Description

The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world.

TheHandbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Bio-Inspired Computing
  • Computational Intelligence
  • Evolutionary Programming
  • Fuzzy Systems
  • Genetic Algorithms
  • Machine Learning
  • Multi-Agent Systems
  • Optimization
  • Swarm Robotics
  • Virtual Reality

Table of Contents and List of Contributors

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