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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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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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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Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem
Qubahan Academic Journal, 2023 Swarm Intelligence algorithms are computational intelligence algorithms inspired from the collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm, and other swarms in the nature.
Awaz Ahmad Shaban +3 more
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Intelligent Feature Selection Methods: A Survey [PDF]
Engineering and Technology Journal, 2021 Consider feature selection is the main in intelligent algorithms and machine learning to select the subset of data to help acquire the optimal solution.
Noor Jameel, Hasanen S. Abdullah
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Jisuanji kexue yu tansuo, 2021 Aiming at the problems of traditional ant colony algorithm in solving traveling salesman problem (TSP), such as slow convergence speed and easy to fall into local optimum, an ant colony optimization algorithm (RCACO) based on dynamic recombination and ...
LIU Yifan, YOU Xiaoming, LIU Sheng
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Orthogonal methods based ant colony search for solving continuous optimization problems [PDF]
, 2008 Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation.
A C Zecchin +27 more
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A Comparative Study on the Use of Classification Algorithms in Financial Forecasting [PDF]
, 2014 Financial forecasting is a vital area in computational finance, where several studies have taken place over the years. One way of viewing financial forecasting is as a classification problem, where the goal is to find a model that represents the ...
F Otero, J Koza, S García, SH Chen
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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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Adaptive multimodal continuous ant colony optimization [PDF]
, 2017 Seeking multiple optima simultaneously, which multimodal optimization aims at, has attracted increasing attention but remains challenging. Taking advantage of ant colony optimization algorithms in preserving high diversity, this paper intends to extend ...
Chen, Wei-Neng +6 more
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