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Updated: Dec 17, 2025

Orienteering as a Tool for Cognitive Research: An Implementation Guide

Orienteering as a Tool for Cognitive Research: An Implementation Guide

Published on: November 29, 2024

A solution approach to the orienteering problem with time windows and synchronisation constraints.

Iman Roozbeh¹, John W Hearne¹, Delaram Pahlevani¹

¹School of Science, RMIT University, Melbourne, Australia.

|June 30, 2020

Summary

This study introduces a new Adaptive Large Neighbourhood Search (ALNS) algorithm to solve the Cooperative Orienteering Problem with Time Windows (COPTW) efficiently. The developed merit-based heuristics provide high-quality solutions for emergency logistics and healthcare applications.

Keywords:

Adaptive large neighbourhood search Algorithms Industrial engineering Mathematical modeling Mathematical optimization Mathematics Multidisciplinary design optimization Orienteering problem with time windows Synchronisation constraint Vehicle routing problem

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Area of Science:

Operations Research
Logistics Management
Computational Optimization

Background:

The Cooperative Orienteering Problem with Time Windows (COPTW) is crucial for applications like home healthcare and emergency logistics.
Existing exact methods struggle with large-scale COPTW instances, limiting operational use.
COPTW requires simultaneous reward collection at nodes, adding complexity beyond standard routing problems.

Purpose of the Study:

To develop efficient algorithms for solving the COPTW suitable for operational decision-making.
To address the challenge of simultaneous node visits and synchronized paths in cooperative routing.
To improve response times for emergency logistics and healthcare services.

Main Methods:

Development of novel merit-based heuristics.
Implementation within an Adaptive Large Neighbourhood Search (ALNS) framework.
Extensive computational validation to assess performance.

Main Results:

The proposed ALNS algorithm effectively solves large-scale COPTW instances.
The method achieves high-quality solutions within operationally feasible timeframes.
Demonstrated suitability for time-critical applications like emergency response.

Conclusions:

The new ALNS approach offers a practical solution for the COPTW.
This research enhances the applicability of optimization techniques in dynamic logistical scenarios.
The findings support improved efficiency in time-sensitive service delivery.