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Full Description
The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book's content encompass the following key aspects:
Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithms
Discusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory control
Highlights single and multi-objective optimization problems using pentagonal fuzzy numbers
Illustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costs
Showcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithm
The text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.
Contents
Chapter 1
Ant colony optimization algorithm for the university course timetabling problem using events based on groupings of students
Rakesh P. Badoni, Sanjeev Kumar, R.P. Mohanty, and Ashirbad Sarangi
Chapter 2
Genetic Optimization and Their Applications
Tusar Kanti Mishra, Vaibhav Bhartia, and B. K. Tripathy
Chapter 3
Different Variants of Unreliable Server: An Economic Approach
Shreekant Varshney, Chandra Shekhar, Vivek Tiwari, and Kocherlakota Satya Pritam
Chapter 4
Multi-Objective Fuzzy Linear Programming Problem with Fuzzy Decision Variables: A Geometrical Approach
Admasu Tadesse, M. M. Acharya, Manoranjan Sahoo, Srikumar Acharya
Chapter 5
On Approximation of Piecewise Linear Membership Functions and its Application to Solve Solid Transportation Problem with Fuzzy Cost Coefficients
Pradip Kundu, and Manidatta Ray
Chapter 6
Profit Maximization Inventory Model for Non-Instantaneous Deteriorating Items with Imprecise Costs
D. K. Nayak, S. K. Paikray, and A. K. Sahoo
Chapter 7
A Fuzzy Inventory Model with Permissible Delay in Payments for Non- Instantaneous Deteriorating Items under Inflation
Vipin Kumar, Amit Kumar, Chandra Shekhar, C. B. Gupta
Chapter 8
Single and Multi-Objective Optimization Problems with Pentagonal Fuzzy Number
Anuradha Sahoo, Jayanta Kumar Dash, Ruchika Moharana
Chapter 9
Sensitivity Analysis of Fuzzy Linear Programming Problems with Symmetric Trapezoidal Fuzzy Numbers
Sanjaya K. Behera, and J. R. Nayak
Chapter 10
Constrained Effective Bit Selection Algorithm for Solving 0-1 Knapsack Problem
Rajpal Rajbhar, and L. N. Das
Chapter 11
A Transportation Model with Rough Cost, Demand, and Supply
Subhakanta Dash, and S. P. Mohanty
Chapter 12
Impact of COVID-19 on the World Economy
Altaf Ahmad, Anjanna Matta, and Topunuru Kaladhar
Chapter 13
Food Waste: Impact of Covid-19 on Urban and Rural Areas
Surya Kant Pal, Mahesh Kumar Jayaswal, Subhodeep Mukherjee, Kriss Gunjan, Jyotirmai Satapathy, Simran Singh
Chapter 14
A Conceptual Study of Association Factors Contributing to the Stress Level of Parents During the Pandemic Era in NCR
Nitendra Kumar, Pooja Singh, Santosh Kumar, Surya Kant Pal, Khursheed Alam, Mahesh Kumar Jayaswal
