Swarm Intelligence and Bio-Inspired Computation

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.

• Focuses on the introduction and analysis of key algorithms
• Includes case studies for real-world applications
• Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.

Table of Contents

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