eBook Emerging Research on Swarm Intelligence and Algorithm Optimization, 1st Edition

  • Yuhui Shi
  • Published By:
  • ISBN-10: 1466663294
  • ISBN-13: 9781466663299
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 300 Pages | eBook
  • Original Copyright 2015 | Published/Released January 2016
  • This publication's content originally published in print form: 2015
  • Price:  Sign in for price



Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence. Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Computational Intelligence and Robotics (ACIR) Book Series.
Other Frontmatter.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
Swarm Intelligence Algorithms.
1: An Optimization Algorithm Based on Brainstorming Process.
2: Analysis of Firefly Algorithms and Automatic Parameter Tuning.
3: A Complementary Cyber Swarm Algorithm.
4: Population Diversity of Particle Swarm Optimizer Solving Single- and Multi Objective Problems.
5: Experimental Study on Boundary Constraints Handling in Particle Swarm Optimization from a Population Diversity Perspective.
6: A Particle Swarm Optimizer for Constrained Multiobjective Optimization.
Swarm Intelligence Applications.
7: Hybrid Swarm Intelligence Based Biclustering Approach for Recommendation of Web Pages.
8: Optimization of Drilling Process via Weightless Swarm Algorithm.
9: Artificial Insect Algorithms for Routing in Wireless Sensor Systems.
10: Coverage Path Planning Using Mobile Robot Team Formations.
11: Path Relinking Scheme for the Max-Cut Problem.
12: Image Segmentation Based on Bio-Inspired Optimization Algorithms.
13: Swarm Intelligence for Dimensionality Reduction: How to Improve the Non-Negative Matrix Factorization with Nature Inspired Optimization Methods.
Compilation of References.
About the Contributors.