Swarm Intelligence and Bio-Inspired Computation, 1st Edition

  • Published By:
  • ISBN-10: 0124051774
  • ISBN-13: 9780124051775
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 450 Pages | eBook
  • Original Copyright 2013 | Published/Released May 2014
  • This publication's content originally published in print form: 2013

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Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
List of Contributors.
1: Theoretical Aspects of Swarm Intelligence and Bio-Inspired Computing.
2: Swarm Intelligence and Bio-Inspired Computation: An Overview.
3: Analysis of Swarm Intelligence—Based Algorithms for Constrained Optimization.
4: Lévy Flights and Global Optimization.
5: Memetic Self-Adaptive Firefly Algorithm.
6: Modeling and Simulation of Ant Colony's Labor Division: A Problem-Oriented Approach.
7: Particle Swarm Algorithm: Convergence and Applications.
8: A Survey of Swarm Algorithms Applied to Discrete Optimization Problems.
9: Test Functions for Global Optimization: A Comprehensive Survey.
10: Applications and Case Studies.
11: Binary Bat Algorithm for Feature Selection.
12: Intelligent Music Composition.
13: A Review of the Development and Applications of the Cuckoo Search Algorithm.
14: Bio-Inspired Models for Semantic Web.
15: Discrete Firefly Algorithm for Traveling Salesman Problem: A New Movement Scheme.
16: Modeling to Generate Alternatives Using Biologically Inspired Algorithms.
17: Structural Optimization Using Krill Herd Algorithm.
18: Artificial Plant Optimization Algorithm.
19: Genetic Algorithm for the Dynamic Berth Allocation Problem in Real Time.
20: Opportunities and Challenges of Integrating Bio-Inspired Optimization and Data Mining Algorithms.
21: Improvement of PSO Algorithm by Memory-Based Gradient Search–Application in Inventory Management.