000			02760nam a2200265 4500
020			_a9789811308598
040			_cIIT Kanpur
041			_aeng
082			_a519.542 _bD357
245			_aDecision science in action _btheory and applications of modern decision analytic optimisation _cedited by Kusum Deep, Madhu Jain and Said Salhi
260			_aSingapore _bSpringer Nature _c2019
300			_avii, 276p
440			_aAsset analytics: performance and safety management
490			_a/ edited by Ajit Kumar Verma
520			_aThis book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their complex nature, it is not always possible to solve them using conventional optimization theory. Accordingly, the book discusses the design and applications of non-conventional numerical optimization techniques, including the design of benchmark functions and the implementation of these techniques to solve real-world optimization problems. The book’s twenty chapters examine various interesting research topics in this area, including: Pi fraction-based optimization of the Pantoja–Bretones–Martin (PBM) antenna benchmarks; benchmark function generators for single-objective robust optimization algorithms; convergence of gravitational search algorithms on linear and quadratic functions; and an algorithm for the multi-variant evolutionary synthesis of nonlinear models with real-valued chromosomes. Delivering on its promise to explore real-world scenarios, the book also addresses the seismic analysis of a multi-story building with optimized damper properties; the application of constrained spider monkey optimization to solve portfolio optimization problems; the effect of upper body motion on a bipedal robot’s stability; an ant colony algorithm for routing alternate-fuel vehicles in multi-depot vehicle routing problems; enhanced fractal dimension-based feature extraction for thermal face recognition; and an artificial bee colony-based hyper-heuristic for the single machine order acceptance and scheduling problem. The book will benefit not only researchers, but also organizations active in such varied fields as Aerospace, Automotive, Biotechnology, Consumer Packaged Goods, Electronics, Finance, Business &​ Banking, Oil, Gas &​ Geosciences, and Pharma, to name a few.
650			_aOperational research
650			_aProbability &​ Statistics
650			_aDecision making
650			_aOperations research
650			_aStatistics
700			_aDeep, Kusum [ed.]
700			_aJain, Madhu [ed.]
700			_aSalhi, Said ed.]
942			_cBK
999			_c561227 _d561227