000			02011cam a2200277zu 4500
001			88814466
003			FRCYB88814466
005			20250107211616.0
006			m o d
007			cr un
008			250107s2013 fr | o|||||0|0|||eng d
020			_a9780124051638
035			_aFRCYB88814466
040			_aFR-PaCSA _ben _c _erda
100	1		_aYang, Xin-She
245	0	1	_aSwarm Intelligence and Bio-Inspired Computation _bTheory and Applications _c['Yang, Xin-She']
264		1	_bElsevier Science _c2013
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aYang, Xin-She
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88814466 _qtext/html _a
520			_aSwarm 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.
999			_c61690 _d61690