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Ant Colony Optimization [PDF]

open access: yesProceedings of the 12th annual conference companion on Genetic and evolutionary computation, 2010
Import 29/09/2010ACO se zabývá řešením kombinatorických problémů, pomocí chování mravenců v přírodě. Přesněji na vyhledávaní nejkratší cesty v grafu pomocí feromonu. ACO jsou heuristické algoritmy.
Vašata, Jan
core   +5 more sources

Ant Colony Optimization [PDF]

open access: yes, 2016
Si — Metode Optimasi Abstrak lebih dikenal salah satunya adalah metode pendekatan. Metode pendekatan tidak menjamin solusi optimal. Namun, meskipun metode ini tidak menjamin hasil yang optimal, tetapi hasil penyelesaian umumnya cukup baik. Metaheuristik
Karjono, K. (Karjono)   +2 more
core   +2 more sources

Test pattern optimization scheme based on Hybrid Ant Colony Optimization [PDF]

open access: yesScientific Reports
The trend toward device miniaturization has made digital circuit testing both essential and increasingly complex. To achieve complete fault coverage, a large number of test patterns are applied, which leads to increased switching activity due to larger ...
S. Asha Pon, V. Jeyalakshmi
doaj   +2 more sources

Ant colony optimization theory: A survey

open access: yesTheoretical Computer Science, 2005
Research on a new metaheuristic for optimization is often initially focused on proof-of-concept applications. It is only after experimental work has shown the practical interest of the method that researchers try to deepen their understanding of the method's functioning not only through more and more sophisticated experiments but also by means of an ...
Dorigo, Marco, Blum, Christian
openaire   +5 more sources

Ant colony optimization

open access: yesScholarpedia, 2007
Article consultable à l'adresse suivante :http://www.scholarpedia.org/article/Ant_colony_optimization ; info:eu-repo/semantics ...
Marco Dorigo, Krzysztof Socha
  +4 more sources

Path planning of multiple UAVs using MMACO and DE algorithm in dynamic environment

open access: yesMeasurement + Control, 2023
Cooperative path planning of multiple unmanned aerial vehicles is a complex task. The collision avoidance and coordination between multiple unmanned aerial vehicles is a global optimal issue.
Zain Anwar Ali, Han Zhangang, Di Zhengru
doaj   +1 more source

Ant colony optimization [PDF]

open access: yesProceedings of the 13th annual conference companion on Genetic and evolutionary computation, 2009
◮ Origins of ACO: Swarm intelligence ◮ How to transfer the biological inspiration into an algorithm ◮ Example applications of ACO: TSP and Assembly line balancing ◮ Hybridizations of ACO algorithms with more classical techniques Peer ...
openaire   +3 more sources

Service Composition and Optimization Method Based on Improved Ant Colony Optimization Algorithm [PDF]

open access: yesJisuanji gongcheng, 2018
Aiming at the shortcomings of traditional ant colony algorithm,such as long initial pheromone accumulation time and easy to fall into local optimum,an improved ant colony system based cloud service composition algorithm is proposed under the condition of
SHEN Jiquan,LUO Changwei,HOU Zhanwei,LIU Zhizhong
doaj   +1 more source

Single-Colony Adaptive Heterogeneous Ant Colony Algorithm for Mobile Robot Path Planning [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
Aiming at the existent problems of complex structure, slow optimization rate and inadequate adaptability of multi-colony ant colony algorithm, a single colony adaptive heterogeneous ant colony algorithm is proposed to solve mobile robot path planning ...
ZHANG Songcan, SUN Lifan, SI Yanna, PU Jiexin
doaj   +1 more source

Dynamic Path Optimization Based on Improved Ant Colony Algorithm

open access: yesJournal of Advanced Transportation, 2023
Dynamic path optimization is an important part of intelligent transportation systems (ITSs). Aiming at the shortcomings of the current dynamic path optimization method, the improved ant colony algorithm was used to optimize the dynamic path.
Juan Cheng
doaj   +1 more source

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