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Meta-heuristics optimization algorithms in engineering, business, economics, and finance

Vasant, Pandian (contributor) - 2013

"This book explores the emerging study of meta-heuristics optimization algorithms and methods and their role in … tuning for meta-heuristics / Jana Ries, Patrick Beullens, Yang Wang -- Investigating of hybrid meta-heuristics to solve the … -- Analysing the returns-earnings relationship: Dempster-Shafer theory and evolutionary computation based analyses using the …

Persistent link: https://www.econbiz.de/10011727533

Trends in developing metaheuristics, algorithms, and optimization approaches

Yin, Peng-Yeng (contributor) - 2013

"This book provides insight on the latest advances and analysis of technologies in metaheuristics computing, offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization"--Provided by publisher.

Persistent link: https://www.econbiz.de/10011727551

Emerging research on swarm intelligence and algorithm optimization

Shi, Yuhui (ed.) - 2015

"This book discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design and discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field"--Provided...

Persistent link: https://www.econbiz.de/10011728081

Heuristics and optimization for knowledge discovery

Sarker, Ruhul A. (contributor); … - 2002

-- Heuristics in medical data mining / Susan E. George -- Understanding credit card user's behaviour: a data mining approach / A. de …

Persistent link: https://www.econbiz.de/10011726226

Recent algorithms and applications in swarm intelligence research

Shi, Yuhui (contributor) - 2013

Scatter search and path relinking: a tutorial on the linear arrangement problem / Rafael Martí ... [et al.] -- A complementary cyber swarm algorithm / Peng-Yeng Yin ... [et al.] -- Path relinking scheme for the max-cut problem within global equilibrium search / Volodymyr P. Shylo, Oleg V. Shylo...

Persistent link: https://www.econbiz.de/10011727586

Data science and simulation in transportation research

Janssens, Davy (ed.); Yasar, Ansar-Ul-Haque (ed.); … - 2014

"This book highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society, offering novel ideas grounded in big data from various data mining and transportation science sources"--Provided by publisher.

Persistent link: https://www.econbiz.de/10011727916

Handbook of research on predictive modeling and optimization methods in science and engineering

Kim, Dookie (ed.); Roy, Sanjiban Sekhar (ed.); … - 2018

"This book explores the latest development of optimization techniques. It shows the application of optimization in new fields such as big data, artificial intelligence, etc. The application of hybrid optimization techniques and stochastic optimization are explored"--

Persistent link: https://www.econbiz.de/10012393207

Nature-inspired algorithms for big data frameworks

Banati, Hema (ed.); Mehta, Shikha (ed.); Kaur, Parmeet (ed.) - 2018

"This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the role...

Persistent link: https://www.econbiz.de/10012393259

Data mining : a heuristic approach

Abbass, Hussein A. (contributor); … - 2002

, statistical mechanics, physics and neuroscience, heuristics techniques are used to solve many problems where traditional methods …1. From evolution to immune to swarm to? A simple introduction to modern heuristics / Jay Rodstein, Katherine Watters …-fertilization of multiple heuristics / Jorge Muruzabal -- 7. Evolution of spatial data templates for object classification / Neil …

Persistent link: https://www.econbiz.de/10011725952

Multi-objective optimization in computational intelligence : theory and practice

Bui, Lam Thu (contributor); Alam, Sameer. (contributor) - 2008

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO...

Persistent link: https://www.econbiz.de/10011726461