Graph Theory: Heuristic Methods
N.B. Singh
This audiobook is narrated by a digital voice.
"Graph Theory: Heuristic Methods" explores the intersection of graph theory and heuristic algorithms, offering a comprehensive exploration of how these methodologies contribute to solving diverse real-world challenges in network design and optimization. Covering fundamental concepts, advanced applications, and emerging trends, this book serves as a vital resource for researchers, practitioners, and students seeking to leverage heuristic approaches for tackling complex problems across various domains."
Duration - 3h 10m.
Author - N.B. Singh.
Narrator - Digital Voice Mary G.
Published Date - Monday, 20 January 2025.
Copyright - © 2024 N.B. Singh ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. "Graph Theory: Heuristic Methods" explores the intersection of graph theory and heuristic algorithms, offering a comprehensive exploration of how these methodologies contribute to solving diverse real-world challenges in network design and optimization. Covering fundamental concepts, advanced applications, and emerging trends, this book serves as a vital resource for researchers, practitioners, and students seeking to leverage heuristic approaches for tackling complex problems across various domains." Duration - 3h 10m. Author - N.B. Singh. Narrator - Digital Voice Mary G. Published Date - Monday, 20 January 2025. Copyright - © 2024 N.B. Singh ©.
Language:
English
Preface
Duration:00:00:35
Introduction to Graph Theory and Heuristic Methods
Duration:00:01:09
Overview of Graph Theory
Duration:00:04:19
Importance of Heuristic Methods
Duration:00:05:28
Historical Background
Duration:00:05:06
Basic Principles of Heuristics
Duration:00:05:53
Comparing Heuristics and Exact Algorithms
Duration:00:05:13
Applications and Scope
Duration:00:06:10
Basic Concepts and Terminology
Duration:00:01:10
Graphs and Their Representations
Duration:00:05:43
Types of Graphs
Duration:00:06:10
Graph Terminology
Duration:00:04:32
Graph Traversal Techniques
Duration:00:05:07
Graph Isomorphism
Duration:00:03:11
Basic Problems in Graph Theory
Duration:00:04:03
Heuristic Search Algorithms
Duration:00:01:00
Greedy Algorithms
Duration:00:03:31
Local Search Techniques
Duration:00:03:30
Genetic Algorithms
Duration:00:04:45
Simulated Annealing
Duration:00:03:26
Ant Colony Optimization
Duration:00:03:21
Tabu Search
Duration:00:03:04
Optimization Techniques in Graph Theory
Duration:00:00:47
Shortest Path Problem
Duration:00:03:02
Minimum Spanning Tree
Duration:00:02:42
Graph Coloring
Duration:00:02:41
Traveling Salesperson Problem
Duration:00:03:19
Maximum Flow Problem
Duration:00:02:58
Network Reliability
Duration:00:03:18
Applications of Heuristic Methods in Network Design
Duration:00:00:59
Network Topology Design
Duration:00:03:25
Routing Algorithms
Duration:00:03:50
Load Balancing
Duration:00:03:48
Fault Tolerance
Duration:00:03:51
Wireless Network Optimization
Duration:00:04:33
Real-World Network Case Studies
Duration:00:07:03
Case Studies and Real-World Examples
Duration:00:00:54
Urban Traffic Networks
Duration:00:05:04
Telecommunication Networks
Duration:00:05:02
Social Network Analysis
Duration:00:05:28
Supply Chain Optimization
Duration:00:05:11
Biological Network Analysis
Duration:00:04:29
Energy Distribution Networks
Duration:00:04:41
Emerging Trends and Future Directions
Duration:00:00:55
Advances in Heuristic Algorithms
Duration:00:04:35
Integration with Machine Learning
Duration:00:04:37
Quantum Computing and Graph Theory
Duration:00:04:11
Big Data and Network Analysis
Duration:00:04:07
Sustainability and Green Networks
Duration:00:03:50
Future Research Directions
Duration:00:04:30