Decision Science in Action Theory and Applications of Modern Decision Analytic Optimisation

Decision Science in Action Theory and Applications of Modern Decision Analytic Optimisation / edited by Kusum Deep, Madhu Jain, Said Salhi.

This 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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Deep, Kusum (Editor), Jain, Madhu (Editor), Salhi, Said (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Asset Analytics, Performance and Safety Management,
Springer eBook Collection.
Subjects:
Operations research.
Decision making.
Management science.
Statistics .
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Chapter 1: π Fraction-based optimization of the pbm antenna benchmarks
  • Chapter 2: Benchmark function generators for single-objective robust optimisation algorithms
  • Chapter 3: Convergence of gravitational search algorithm on linear and quadratic functions
  • Chapter 4: An algorithm of multi-variant evolutionary synthesis of nonlinear models with real-valued chromosomes
  • Chapter 5: An artificial bee colony based hyper-heuristic for the single machine order acceptance and scheduling problem
  • Chapter 6: A new evolutionary optimization method based on center of mass
  • Chapter 7: Adaptive artificial physics optimization algorithm with pd controller
  • Chapter 8: Nsga-ii based decision-making in fuzzy multi-objective optimization of system reliability
  • Chapter 9: Ga based task scheduling algorithm for efficient utilization of available resources in computational grid
  • Chapter 10: Statistical feature analysis of thermal images from electrical equipment
  • Chapter 11: Performance of sine-cosine algorithm on large-scale optimization problems
  • Chapter 12: Necessary and sufficient optimality conditions for fractional interval valued optimization problems
  • Chapter 13: Application of constrained spider monkey optimization to solve portfolio optimization problem
  • Chapter 14: Optimal configuration selection in reconfigurable manufacturing system
  • Chapter 15: A comparative study of regularized long wave equations using collocation method with cubic b-spline
  • Chapter 16: An enhanced fractal dimension based feature extraction for thermal face recognition
  • Chapter 17: Seismic analysis of multistoried building with optimized damper properties
  • Chapter 18: Effect of upper body motion on biped robot stability
  • Chapter 19: Ant colony algorithm for routing alternate fuel vehicles in multi-depot vehicle routing problem
  • Chapter 20: Semidefinite approximation of closed convex set.

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