Multi-Agent Route Planning Focused on Protecting Human Health in Milk Transportation: Integration of Fuzzy Logic and Hybrid Approaches

Cem Özkurt

Makale detayları

Multi-Agent Route Planning Focused on Protecting Human Health in Milk Transportation: Integration of Fuzzy Logic and Hybrid Approaches

Yazarlar:

Cem Özkurt

Yayıncı:

Kastamonu University

Ana Başlıklar:

Makine Öğrenme (Diğer)

Dergi:

Inspiring Technologies and Innovations Vol.3 Issue 2, pp.17-34

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001334144

pISSN:

2822-6062

Anahtar kelimeler:

Özet:

 In transportation processes, delays and arbitrary decisions are often encountered, especially in the food and agriculture sectors. The prevailing focus of current navigation systems on speed or fuel efficiency often neglects the preservation of perishable and specialty products. This study aims to address these issues, particularly in milk transportation processes. It proposes decision-making through the use of specific standards such as efficiency, temperature, and mass, employing a dynamic framework. The study draws insights from the utilization of genetic algorithms, fuzzy logic, and hybrid approaches in multi-agent systems and autonomous robot path planning. Various aspects are explored in the literature, including coordination behaviors, fuzzy rule-based path planning, linguistic variables, and collaboration-based learning methods. The focus of this study lies in enhancing these fundamentals, particularly emphasizing on utilizing the A algorithm with multi-target agents using fuzzy logic, aiming to provide robust solutions for multi-agent path planning scenarios.

 In transportation processes, delays and arbitrary decisions are often encountered, especially in the food and agriculture sectors. The prevailing focus of current navigation systems on speed or fuel efficiency often neglects the preservation of perishable and specialty products. This study aims to address these issues, particularly in milk transportation processes. It proposes decision-making through the use of specific standards such as efficiency, temperature, and mass, employing a dynamic framework. The study draws insights from the utilization of genetic algorithms, fuzzy logic, and hybrid approaches in multi-agent systems and autonomous robot path planning. Various aspects are explored in the literature, including coordination behaviors, fuzzy rule-based path planning, linguistic variables, and collaboration-based learning methods. The focus of this study lies in enhancing these fundamentals, particularly emphasizing on utilizing the A algorithm with multi-target agents using fuzzy logic, aiming to provide robust solutions for multi-agent path planning scenarios.

 In transportation processes, delays and arbitrary decisions are often encountered, especially in the food and agriculture sectors. The prevailing focus of current navigation systems on speed or fuel efficiency often neglects the preservation of perishable and specialty products. This study aims to address these issues, particularly in milk transportation processes. It proposes decision-making through the use of specific standards such as efficiency, temperature, and mass, employing a dynamic framework. The study draws insights from the utilization of genetic algorithms, fuzzy logic, and hybrid approaches in multi-agent systems and autonomous robot path planning. Various aspects are explored in the literature, including coordination behaviors, fuzzy rule-based path planning, linguistic variables, and collaboration-based learning methods. The focus of this study lies in enhancing these fundamentals, particularly emphasizing on utilizing the A algorithm with multi-target agents using fuzzy logic, aiming to provide robust solutions for multi-agent path planning scenarios.

 Genellikle taşıma süreçlerinde yaşanan gecikmeler veya keyfi kararlar, özellikle gıda ve tarım sektörlerinde sıkça karşılaşılan bir sorundur. Mevcut navigasyon sistemlerinin genellikle sadece hız veya yakıt tasarrufu odaklı olması, kısa ömürlü ve özel ürünlerin korunmasını ihmal etmesine neden olmaktadır. Bu çalışma, özellikle süt taşıma süreçlerinde ortaya çıkan bu sorunlara çözüm getirmeyi hedeflemektedir. Süt taşımacılığında, verim, sıcaklık ve kütlenin kullanımı gibi belirli standartlar belirlenerek, dinamik bir yapı kullanılarak karar alınması önerilmektedir. Çalışma, genetik algoritmalar, bulanık mantık ve hibrit yaklaşımların çoklu ajan sistemleri ve otonom robot yol planlamasında kullanımına dair önemli perspektiflere dayanmaktadır. Literatürde, koordinasyon davranışları, bulanık kurallı yol planlaması, dil değişkenleri ve işbirliğine dayalı öğrenme yöntemleri gibi çeşitli alanlar incelenmektedir. Bu çalışmanın odaklandığı konu, A algoritması ile çoklu hedefli ajanları kullanarak bulanık mantık üzerine yoğunlaşarak, bu temelleri daha da geliştirmeyi ve çoklu ajanlı yol planlama senaryoları için güçlü çözümler sunmayı amaçlamaktadır.

Makale detayları

Multi-Agent Route Planning Focused on Protecting Human Health in Milk Transportation: Integration of Fuzzy Logic and Hybrid Approaches

Yazarlar:

Cem Özkurt

Yayıncı:

Kastamonu University

Ana Başlıklar:

Makine Öğrenme (Diğer)

Dergi:

Inspiring Technologies and Innovations Vol.3 Issue 2, pp.17-34

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001334144

pISSN:

2822-6062

Mobile Path Planning

Pathfinding with A* algorithms

Multi-Target Agents Path Planning

Fuzzy LogicMobil Yol Planlaması

A* algoritması ile Yol Bulma

Çok Hedefli Ajanlar Yol Planlaması

Bulanık Mantık

Sayı

Makale detayları

Yazarlar: Cem Özkurt

Yayıncı: Kastamonu University

Ana Başlıklar: Makine Öğrenme (Diğer)

Dergi: Inspiring Technologies and Innovations Vol.3 Issue 2, pp.17-34

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001334144

pISSN: 2822-6062

Sayı

Yazarlar:

Cem Özkurt

Yayıncı:

Kastamonu University

Ana Başlıklar:

Makine Öğrenme (Diğer)

Dergi:

Inspiring Technologies and Innovations Vol.3 Issue 2, pp.17-34

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001334144

pISSN:

2822-6062