Combinatorial Optimization Problems: Algorithms, Applications, and Future Directions

EasyChair Preprint no. 10924

Abstract

Combinatorial optimization problems play a crucial role in various fields, including operations research, computer science, engineering, and logistics, among others. This research paper provides a comprehensive overview of combinatorial optimization problems, focusing on their significance, algorithmic approaches, real-world applications, and emerging research directions. We examine the theoretical foundations of combinatorial optimization and explore some of the most widely used algorithms. Furthermore, we discuss applications in diverse domains and highlight the ongoing efforts in addressing increasingly complex problems. We conclude by discussing future directions and challenges in the field of combinatorial optimization.

Keyphrases: Combinatorial optimization problems, dynamic programming, Metaheuristic algorithms

@Booklet{EasyChair:10924,
  author = {Rohit Mishra},
  title = {Combinatorial Optimization Problems: Algorithms, Applications, and Future Directions},
  howpublished = {EasyChair Preprint no. 10924},

  year = {EasyChair, 2023}}