Multi-Objective Combinatorial Optimization Problems and Solution Methods

Mehdi Toloo, Siamak Talatahari, Iman Rahimi

• Publisher: Academic Press
• Year: 2022
• ISBN:
  9780128238004
• Topic: Biological Sciences
• Subtopic: Biotechnology
• Index: Biological Sciences

Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective combinatorial optimization issues that may benefit from different methods in theory and practice. Combinatorial optimization problems appear in a wide range of applications in operations research, engineering, biological sciences and computer science, hence many optimization approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic and algebraic techniques.

This book covers this important topic as computational optimization has become increasingly popular as design optimization and its applications in engineering and industry have become ever more important due to more stringent design requirements in modern engineering practice.

• Presents a collection of the most up-to-date research, providing a complete overview of multi-objective combinatorial optimization problems and applications
• Introduces new approaches to handle different engineering and science problems, providing the field with a collection of related research not already covered in the primary literature
• Demonstrates the efficiency and power of the various algorithms, problems and solutions, including numerous examples that illustrate concepts and algorithms

Table of contents

• Cover Image
• Title Page
• Copyright
• Dedication
• Table of Contents
• Contributors
• Editors Biography
• Preface
• Acknowledgments
• Chapter 1 Multiobjective combinatorial optimization problems: social, keywords, and journal maps
• Chapter 2 The fundamentals and potential of heuristics and metaheuristics for multiobjective combinatorial optimization problems and solution methods
• Chapter 3 A survey on links between multiple objective decision making and data envelopment analysis
• Chapter 4 Improved crow search algorithm based on arithmetic crossover—a novel metaheuristic technique for solving engineering optimization problems
• Chapter 5 MOGROM: Multiobjective Golden Ratio Optimization Algorithm
• Chapter 6 Multiobjective charged system search for optimum location of bank branch
• Chapter 7 Application of multiobjective Gray Wolf Optimization in gasification-based problems
• Chapter 8 A VDS-NSGA-II algorithm for multiyear multiobjective dynamic generation and transmission expansion planning
• Chapter 9 A multiobjective Cuckoo Search Algorithm for community detection in social networks
• Chapter 10 Finding efficient solutions of the multicriteria assignment problem
• Chapter 11 Application of multiobjective optimization in thermal design and analysis of complex energy systems
• Chapter 12 A multiobjective nonlinear combinatorial model for improved planning of tour visits using a novel binary gaining-sharing knowledge- based optimization algorithm
• Chapter 13 Variables clustering method to enable planning of large supply chains
• Index