Description: 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.
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Book Title: Swarm Intelligence and Bio-Inspired Computation: Theory and Appli
Publication Date: 2013-05-29
Pages: 450
Number of Pages: 450 Pages
Language: English
Publication Name: Swarm Intelligence and Bio-Inspired Computation : Theory and Applications
Publisher: Elsevier
Item Height: 0.4 in
Subject: Biotechnology, Programming / Algorithms, Intelligence (Ai) & Semantics, Algebra / General, Bioinformatics, Computer Vision & Pattern Recognition
Publication Year: 2013
Type: Textbook
Item Weight: 26.9 Oz
Subject Area: Mathematics, Computers, Science
Item Length: 9 in
Author: Zhihua Cui
Item Width: 6 in
Format: Hardcover