Applying Ant Colony Optimization to Reduce Tram Journey Times DOI Creative Commons
Mariusz Korzeń, I. Gisterek

Sensors, Journal Year: 2024, Volume and Issue: 24(19), P. 6226 - 6226

Published: Sept. 26, 2024

Nature-inspired algorithms allow us to solve many problems related the search for optimal solutions. One such issue is problem of searching routes. In this paper, ant colony optimization used tram Ant a method inspired by behavior ants in nature, which as group are able successfully find routes from nest food. The aim paper present practical application algorithm tool public transport network planning. urban transport, travel time crucial. It major factor passengers’ choice mode. Therefore, objective function determining operation driving time. Scheduled time, real and theoretical analyzed compared. then compared with each other order select solution. A case study involving one largest tramway networks Poland demonstrates effectiveness nature-inspired algorithm. obtained results route selecting shortest Thus, development entire also possible. addition, due its versatility, can be applied various modes transport.

Language: Английский

Nature-Inspired Solutions for Sustainable Mining: Applications of NIAs, Swarm Robotics, and Other Biomimicry-Based Technologies DOI Creative Commons
Joven Tan,

Noune Melkoumian,

David Harvey

et al.

Biomimetics, Journal Year: 2025, Volume and Issue: 10(3), P. 181 - 181

Published: March 14, 2025

Environmental challenges, high safety risks and operational inefficiencies are some of the issues facing mining sector. The paper offers an integrated viewpoint to address these by combining swarm robotics, nature-inspired algorithms (NIAs) other biomimicry-based technologies into a single framework. It presents systematic classification each methodology, emphasizing their key advantages disadvantages as well considering real-life application scenarios, including hazard detection, autonomous transportation energy-efficient drilling. Case studies citied demonstrate how methodologies work together, extensive comparison table applications at mines, such Boliden, Diavik Diamond Mine, Olympic Dam others, summary scalability practicality. This highlights future directions multi-robot coordination hybrid NIAs, improve resilience sustainability. also provides broad overview biomimicry critically examines unresolved like real-time adaptation, parameter tuning mechanical wear. aims offer comprehensive insight using bio-inspired models enhance efficiency, environmental management, while proposing road map for resolving that continue be hurdle wide adaptation in industry.

Language: Английский

Citations

1

Public Transport Planning Using Modified Ant Colony Optimization DOI Open Access
Mariusz Korzeń, M. Kruszyna

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2468 - 2468

Published: March 11, 2025

Planning sustainable public transport is a crucial aspect of the efficient performance entire network. This paper presents method for planning routes using modified ant colony optimization. The individual objective function created, which determines effort needed to cover route. takes into account real-world parameters such as driving time, route length, delays, and attractiveness more dynamically flexibly. application tool described an example one most energy-efficient means transport. results made it possible reduce same line by 11.5% compared current

Language: Английский

Citations

0

Applying Ant Colony Optimization to Reduce Tram Journey Times DOI Creative Commons
Mariusz Korzeń, I. Gisterek

Sensors, Journal Year: 2024, Volume and Issue: 24(19), P. 6226 - 6226

Published: Sept. 26, 2024

Nature-inspired algorithms allow us to solve many problems related the search for optimal solutions. One such issue is problem of searching routes. In this paper, ant colony optimization used tram Ant a method inspired by behavior ants in nature, which as group are able successfully find routes from nest food. The aim paper present practical application algorithm tool public transport network planning. urban transport, travel time crucial. It major factor passengers’ choice mode. Therefore, objective function determining operation driving time. Scheduled time, real and theoretical analyzed compared. then compared with each other order select solution. A case study involving one largest tramway networks Poland demonstrates effectiveness nature-inspired algorithm. obtained results route selecting shortest Thus, development entire also possible. addition, due its versatility, can be applied various modes transport.

Language: Английский

Citations

2