PDF

Ant Colony Optimization Dorigo carte

Marco Dorigo, Thomas Stützle

2026enant colony optimizationcombinatorial optimizationmetaheuristicsroutingschedulingmachine learning

Abstract

Language:

Ant Colony Optimization (ACO) is a metaheuristic inspired by the foraging behavior of ants that has been widely applied to solve combinatorial optimization problems. This book presents a comprehensive overview of the principles, theories, and applications of ACO. The objective is to provide researchers and practitioners with a detailed examination of ACO as a method for solving complex optimization tasks. The methodology includes the theoretical foundations of ACO, the description of various ACO algorithms, and discussions on their implementations for different problems, such as the Traveling Salesman Problem. Empirical evaluations are conducted to assess the performance of the algorithms across various scenarios. The results indicate that ACO is an effective approach, demonstrating robustness and adaptability in solving NP-hard problems. This work serves as both an introduction for newcomers to the field and a reference for experienced researchers seeking to deepen their understanding of ACO and its potential applications.

Download

Cite This Work

@article{a67167f6-6ddc-4c5f-9319-f4e19672dcb3,
  title={Ant Colony Optimization Dorigo carte},
  author={Marco Dorigo and Thomas Stützle},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Ant Colony Optimization Dorigo carte
AU  - Marco Dorigo
AU  - Thomas Stützle
PY  - 2026
LA  - en
ER  -

Similar Items

Coordinated supply scheduling of offshore and onshore hydrogen considering power and transportation networks

Xiong Wu, Yu Zhang

Converting offshore wind energy into hydrogen is a promising approach to improving renewable energy utilization. Coordinated offshore and onshore oper

2027enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

The Nature of Solid Iron and Its Grain Structure

Unknown, Unknown

This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand

2023enPDF

842063941 SX configuration

2026enPDF

758686865 Procedes metallurgique speciaux

Ir. Méshac KIME ILUNGA

Ce document traite des procédés métallurgiques spéciaux, en mettant particulièrement l'accent sur l'extraction liquide-liquide, un processus mis au po

2026enPDF