A linear approximation algorithm for the BPP with the best possible absolute approximation ratio
Abdolahad Noori Zehmakan, Mojtaba Eslahi

TL;DR
This paper introduces a new linear approximation algorithm for the Bin Packing Problem that achieves the best possible approximation ratio of 3/2 with linear time complexity, improving the efficiency and optimality of solutions.
Contribution
It presents a novel approximation algorithm for BPP that attains the optimal ratio of 3/2 in linear time, matching theoretical bounds.
Findings
Achieves the best possible approximation ratio of 3/2.
Operates in linear time complexity O(n).
Proves the optimality of the approximation ratio under P≠NP.
Abstract
The Bin Packing Problem is one of the most important Combinatorial Optimization problems in optimization and has a lot of real-world applications. Many approximation algorithms have been presented for this problem because of its NP-hard nature. In this article also a new creative approximation algorithm is presented for this important problem. It has been proven that the best approximation ratio and the best time order for the Bin Packing Problem are 3/2 and O(n), respectively unless P=NP. The presented algorithm in this article has the best possible factors, O(n) and 3/2.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptimization and Packing Problems · Advanced Manufacturing and Logistics Optimization · Vehicle Routing Optimization Methods
