Inspired Optimization

Nature-Inspired Optimization Algorithms  eBooks & eLearning

Posted by Bayron at Dec. 3, 2016
Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms by Xin-She Yang
English | 2016 | ISBN: 0124167438, 0128100605 | 300 pages | EPUB | 6,6 MB
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Patricia Melin, Oscar Castillo, "Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization"
2015 | ISBN-10: 331917746X | 652 pages | PDF | 19 MB
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications (repost)

Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications (Studies in Computational Intelligence) by Oscar Castillo and Patricia Melin
English | 2014 | ISBN: 3319109596 | 195 pages | PDF | 7,5 MB
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications

Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications (Studies in Computational Intelligence) by Oscar Castillo and Patricia Melin
English | 2014 | ISBN: 3319109596 | 195 pages | PDF | 7,5 MB

Kevin M. Passino, «Biomimicry for Optimization, Control, and Automation»  eBooks & eLearning

Posted by Alexpal at Sept. 9, 2006
Kevin M. Passino, «Biomimicry for Optimization, Control, and Automation»

Kevin M. Passino, «Biomimicry for Optimization, Control, and Automation»
Springer | ISBN 1852338040 | 2004 Year | PDF | 17,23 Mb | 926 Pages

There are many highly effective optimization, feedback control, and automation systems embedded in living organisms and nature. Evolution persistently seeks optimal robust designs for biological feedback control systems and decision making processes. From this comprehensive text you will gain knowledge of how mimicry of such biological processes can be used to solve optimization, control, and automation problems encountered in the construction of high technology systems. Mathematical stability analysis is treated for a number of cases, from attentional systems to social foraging swarm cohesion properties. Bio-inspired optimization and control methods are compared to conventional techniques with an objective to provide a balanced viewpoint.
Multi-agent Applications with Evolutionary Computation and Biologically Inspired Technologies [Repost]

Multi-agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization by Yasushi Kambayashi
English | 30 Oct. 2011 | ISBN: 1605668982 | 384 Pages | PDF | 8 MB
Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)

Carlos Cruz, Juan R. González, Natalio Krasnogor, David Alejandro Pelta, Germán Terrazas - Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)
Published: 2010-04-07 | ISBN: 3642125379 | PDF | 420 pages | 11 MB
Music-Inspired Harmony Search Algorithm: Theory and Applications (repost)

Music-Inspired Harmony Search Algorithm: Theory and Applications (Studies in Computational Intelligence) by Zong Woo Geem
English | May 12, 2009 | ISBN: 364200184X | 206 Pages | PDF | 6 MB

Calculus has been used in solving many scientific and engineering problems. For optimization problems, however, the differential calculus technique sometimes has a drawback when the objective function is step-wise, discontinuous, or multi-modal, or when decision variables are discrete rather than continuous. Thus, researchers have recently turned their interests into metaheuristic algorithms that have been inspired by natural phenomena such as evolution, animal behavior, or metallic annealing.
Advances in Bio-inspired Computing for Combinatorial Optimization Problems (repost)

Advances in Bio-inspired Computing for Combinatorial Optimization Problems (Intelligent Systems Reference Library) by Camelia-Mihaela Pintea
English | ISBN: 3642401783 | 2013 | PDF | 188 pages | 3 MB

"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems.
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary... (repost)

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications (Studies in Computational Intelligence) by German Terrazas, Fernando E. B. Otero and Antonio D. Masegosa
English | 2013 | ISBN: 3319016911 | 400 pages | PDF | 6,1 MB

Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation.