An Improved Lower Bound on the Competitive Ratio of Deterministic Online Algorithms for the Multi-agent K-Canadian Traveler Problem

Author:

Shiri Davood1ORCID,Salman F. Sibel2ORCID

Affiliation:

1. Sheffield University

2. Koç University

Abstract

We present an improved lower bound on the competitive ratio of deterministic online algorithms for the multi-agent k-Canadian Traveler Problem.

Publisher

Network Design Lab - Transport Findings

Subject

Pharmacology (medical)

Reference11 articles.

1. Weighted online minimum latency problem with edge uncertainty;Vahid Akbari;European Journal of Operational Research,2021

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4. Amortized efficiency of list update rules;Daniel Dominic Sleator;Proceedings of the sixteenth annual ACM symposium on Theory of computing - STOC '84,1984

5. Online Optimization of First-responder Routes in Disaster Response Logistics;Davood Shiri;IBM Journal of Research and Development,2020

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