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IEEE AccessTraditional Ant Colony Optimization (T-ACO) algorithms often face challenges in dynamic environments, particularly the tendency to become trapped in local minima, resulting in suboptimal path planning.
Desi W. Sari +2 more
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Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
Wasit Journal of Computer and Mathematics Science, 2023 The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results.
Roni La’biran, Muhammad Kristiawan
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Omicron ACO. A New Ant Colony Optimization Algorithm
CLEI Electronic Journal, 2018 Ant Colony Optimization (ACO) is a metaheuristic inspired by the foraging behavior of ant colonies that has been successful in the resolution of hard combinatorial optimization problems like the Traveling Salesman Problem (TSP).
Benjamın Baran, Osvaldo Gomez
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ACO-A*: Ant Colony Optimization Plus A* for 3-D Traveling in Environments With Dense Obstacles [PDF]
IEEE Transactions on Evolutionary Computation, 2019 Path planning is one of the most important problems in the development of autonomous underwater vehicles (AUVs). In some common AUV missions, e.g., wreckage search for rescue, an AUV is often required to traverse multiple targets in a complex environment with dense obstacles. In such case, the AUV path planning problem becomes even more challenging. In
Huaxiang Zhang, , Tianlong Gu
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Routing in Wireless Sensor Networks Using an Ant Colony Optimization (ACO) Router Chip [PDF]
Sensors, 2009 Wireless Sensor Networks consisting of nodes with limited power are deployed to gather useful information from the field. In WSNs it is critical to collect the information in an energy efficient manner. Ant Colony Optimization, a swarm intelligence based optimization technique, is widely used in network routing.
Selcuk Okdem +2 more
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Intrusion Detection and Classification Using Ant Colony Optimization Algorithm [PDF]
المجلة العراقية للعلوم الاحصائية, 2013 Studies of ant colonies have contributed in abundance to the set of intelligent algorithms. The modeling of pheromone depositing by ants in their search for the shortest paths to food sources resulted in the development of shortest path optimization ...
Mafaz Mohsin Khalil Al-Anezi +3 more
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Maximum likelihood DOA estimation based on improved ant colony optimization algorithm
Shenzhen Daxue xuebao. Ligong ban, 2023 In order to alleviate the huge amount of calculation when using the continuous domain ant colony optimization (ACO) algorithm to handle the maximum likelihood (ML) estimation problem, we propose a maximum likelihood direction of arrival (ML-DOA ...
JIAO Yameng, LI Wenping, WU Yue, CUI Lin
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Survey on Recent Research and Implementation of Ant Colony Optimization in Various Engineering Applications [PDF]
International Journal of Computational Intelligence Systems, 2011 Ant colony optimization (ACO) takes inspiration from the foraging behaviour of real ant species. This ACO exploits a similar mechanism for solving optimization problems for the various engineering field of study. Many successful implementations using ACO
Mohan B. Chandra, R. Baskaran
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Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization
Electronics, 2023 This paper presents the use of an artificial intelligence (AI) tool based on ant colony behavior to design an operational amplifier circuit.
Samir Barra
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Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows
IEEE Access, 2019 In this paper, we propose a novel ant colony optimization algorithm based on improved brainstorm optimization (IBSO-ACO) to solve the vehicle routing problem with soft time windows.
Libing Wu +4 more
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