SamACO: variable sampling ant colony optimization algorithm for continuous optimization [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010 An ant colony optimization (ACO) algorithm offers algorithmic techniques for optimization by simulating the foraging behavior of a group of ants to perform incremental solution constructions and to realize a pheromone laying-and-following mechanism ...
Chung, H.S. +4 more
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ACOustic: A Nature-Inspired Exploration Indicator for Ant Colony Optimization [PDF]
The Scientific World Journal, 2015 A statistical machine learning indicator, ACOustic, is proposed to evaluate the exploration behavior in the iterations of ant colony optimization algorithms.
Rafid Sagban +2 more
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Study on a hybrid algorithm combining enhanced ant colony optimization and double improved simulated annealing via clustering in the Traveling Salesman Problem (TSP) [PDF]
PeerJ Computer Science, 2023 In the process of solving the Traveling Salesman Problem (TSP), both Ant Colony Optimization and simulated annealing exhibit different limitations depending on the dataset.
Tan Hao +3 more
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Runtime Analysis of a Simple Ant Colony Optimization Algorithm [PDF]
Algorithmica, 2006 Reihe CI;200 ...
Frank Neumann, Carsten Witt
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Dynamic impact for ant colony optimization algorithm [PDF]
Swarm and Evolutionary Computation, 2022 14 pages, 5 tables, 3 ...
Jonas Skackauskas +3 more
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Implementable hybrid quantum ant colony optimization algorithm
Quantum Machine Intelligence, 2022 AbstractWe propose a new hybrid quantum algorithm based on the classical Ant Colony Optimization algorithm to produce approximate solutions for NP-hard problems, in particular optimization problems. First, we discuss some previously proposed Quantum Ant Colony Optimization algorithms, and based on them, we develop an improved algorithm that can be ...
M. Garcia de Andoin, J. Echanobe
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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
doaj +1 more source
Mathematics, 2022 Various studies have shown that the ant colony optimization (ACO) algorithm has a good performance in approximating complex combinatorial optimization problems such as traveling salesman problem (TSP) for real-world applications. However, disadvantages such as long running time and easy stagnation still restrict its further wide application in many ...
Shugang Li +4 more
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Adding Negative Learning to Ant Colony Optimization: A Comprehensive Study
Mathematics, 2021 Ant colony optimization is a metaheuristic that is mainly used for solving hard combinatorial optimization problems. The distinctive feature of ant colony optimization is a learning mechanism that is based on learning from positive examples. This is also
Teddy Nurcahyadi, Christian Blum
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Query Optimization using Modified Ant Colony Algorithm
International Journal of Computer Applications, 2017 Ajay Wagh, Varsha Nemade
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