Optimization Essentials

Edited by Faiz Hamid ()

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2024
ISBN: 978-981-99-5491-9
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Chapters in this book:

Ch 10 Column Generation and Lagrangian Relaxation: Solving Real-World Crew (Re)Scheduling Problems

Twan Dollevoet and Dennis Huisman

Ch Chapter 1 Introduction

Faiz Hamid

Ch Chapter 11 Dantzig–Wolfe Reformulation and Column Generation: Optimization in the Chemical Tanker Industry

Anurag Ladage, Ashutosh Mahajan, Andreas Ernst and Mohan Krishnamoorthy

Ch Chapter 12 Volume Algorithm: Training Neural Networks and Solving Difficult Linear Programs

Mourad Baiou, Francisco Barahona and Joao Goncalves

Ch Chapter 13 Exact and Approximation Methods for Mixed-Integer Nonlinear Programming Problem

Amit Kumar Vatsa and Saurabh Chandra

Ch Chapter 14 Lagrangian Methods and Dynamic Programming-Based MIP Formulations for the Unit Commitment Problem

Tiziano Bacci, Antonio Frangioni and Claudio Gentile

Ch Chapter 15 Bilevel Optimization: Applications, Models and Solution Approaches

Sachin Jayaswal and Ankur Sinha

Ch Chapter 16 Modeling and Solving Robust Chance-Constrained Binary Programs Using Sample Average Approximations

Shanshan Wang, Mohsen Mohammadi and Sanjay Mehrotra

Ch Chapter 17 Production Planning and Scheduling for Parallel Machines with Sequence-Dependent Setup Times

Nadjib Brahimi, Abrar Khalaf, Rim Larbi and Hebah Al-Hammadi

Ch Chapter 18 Facility Location Problem: A Case Study of School Consolidation

Abhishek Bhatnagar and Nomesh B. Bolia

Ch Chapter 19 Quantitative Models in Railway Operations Management

Narayan Rangaraj, Swapnesh Subramanian and Shripad Salsingikar

Ch Chapter 2 The Many Guises of Linear Programming

Joydeep Dutta

Ch Chapter 20 Railyard Optimization

Krishna C. Jha and Ravindra K. Ahuja

Ch Chapter 21 A Neighborhood Search Algorithm for the Tool Indexing Problem without Tool Duplication

Deepti Mohan and Diptesh Ghosh

Ch Chapter 22 Solving a Large-Scale Multi-Depot Vehicle Routing Problem Heuristically

Buşra Baytur, Eren Özceylan, Çağrı Koç and Güneş Erdoğan

Ch Chapter 23 Effective Metaheuristic Algorithms for Platelet Collection Routing Problem

Milad Elyasi, Ramin Talebi Khameneh, Ali Ekici and Okan Örsan Özener

Ch Chapter 24 NSGA-II and TOPSIS for a Multi-objective Vehicle Routing Problem with Ecological Considerations

Sanja Petrovic, Kingshuk Jubaer Islam and Alexander Trautrims

Ch Chapter 25 Modeling and Solving Difficult-to-Represent Optimization Problems

Akhil Yadav and Partha Chakroborty

Ch Chapter 26 Coordinating a Behavioral Supply Chain Under Revenue-Sharing Contract

Mohd Mujahid Khan and B. Vipin

Ch Chapter 3 Mixed-Integer Programming Modeling Strategies for Scheduling-Based Optimization Problems

J. Cole Smith and Robert M. Curry

Ch Chapter 4 Converting Weak to Strong MIP Formulations: A Practitioner’s Guide

Ed Klotz and Richard Oberdieck

Ch Chapter 5 Valid Inequalities for the Telecommunications Network Design Problem

Yogesh K. Agarwal

Ch Chapter 6 Modeling and Solution Approaches for Resource Assignment with Deployment Restrictions

Anantaram Balakrishnan and Prakash Mirchandani

Ch Chapter 7 Modeling and Exact Solution Approaches for the Distance-Based Critical Node and Edge Detection Problems

Glory Uche Alozie, Kerem Akartunali and Ashwin Arulselvan

Ch Chapter 8 Benders Decomposition: A Humanitarian Operation with Stochastic Programming Framework

Jyotirmoy Dalal and Faiz Hamid

Ch Chapter 9 Delayed Column Generation: Solving Large-Scale Optimization Models From the Airline Industry

Adithya Patil and Milind G. Sohoni

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DOI: 10.1007/978-981-99-5491-9

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