Date of Award

Summer 2025

Rights

Access is available to all users

Document Type

Thesis

Degree Name

Master of Science (MS) in Computer Science

Department

Computer Science and Electrical Engineering

Abstract

Multi-objective routing has been studied for over forty years, yet its application to the bike routing problem is a relatively recent development. The Multi-Objective Bike Routing Problem (MOBRP) seeks to optimize a set of bike routes from a single source to a single destination, given multiple cost criteria. This paper makes two primary contributions. First, it consolidates existing research on the MOBRP, including the criteria chosen and associated cost functions, the search algorithms used, and the testing setups and metrics used for evaluation. Second, it implements the most promising search algorithms and evaluates these approaches through comprehensive cross-testing, a topic that has received little attention in previous studies

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