Description

Book Synopsis

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


Table of 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

Modeling and Applications in Operations Research

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    Order before 4pm tomorrow for delivery by Fri 26 Jun 2026.

    A Hardback by Jyotiranjan Nayak, Shreekant Varshney, Chandra Shekhar

    15 in stock


      View other formats and editions of Modeling and Applications in Operations Research by Jyotiranjan Nayak

      Publisher: Taylor & Francis Ltd
      Publication Date: 11/29/2023 12:00:00 AM
      ISBN13: 9781032407371, 978-1032407371
      ISBN10: 1032407379

      Description

      Book Synopsis

      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


      Table of 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

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