An Improved Ant Colony Algorithm for Continuous Optimization Based on Levy Flight
Chemical Engineering Transactions, 2016 Ant colony optimization (ACO) is proposed on the study of the foraging behavior of ants on the basis of the proposed and widely used in the optimization. However, it has some shortcoming such as longer time, hardly implement and local optimal etc.
H.Z. Wang, C.G. Liang
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Opposition-Based Ant Colony Optimization Algorithm for the Traveling Salesman Problem
Mathematics, 2020 Opposition-based learning (OBL) has been widely used to improve many swarm intelligent optimization (SI) algorithms for continuous problems during the past few decades.
Zhaojun Zhang +4 more
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A new sequential covering strategy for inducing classification rules with ant colony algorithms [PDF]
, 2012 Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorithm ...
Freitas, Alex A. +2 more
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A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm [PDF]
, 2023 Sana Abbas +4 more
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Perancangan Rute Distribusi Beras Sejahtera Menggunakan Algoritma Ant Colony Optimization (Studi Kasus di BULOG Kabupaten Semarang [PDF]
, 2016 Distribution activity has a very important role in the supply chain. Distribution is an activity to send the goods or products from the supplier or manufacturer to the consumer.
Silaban, F. B. (Freddy) +2 more
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Flexible protein folding by ant colony optimization [PDF]
, 2008 Protein structure prediction is one of the most challenging topics in bioinformatics. As the protein structure is found to be closely related to its functions, predicting the folding structure of a protein to judge its functions is meaningful to the ...
Hu, X., Li, Y., Zhang, J.
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Improved Ant Colony Algorithm for the Split Delivery Vehicle Routing Problem
Applied SciencesThe split delivery vehicle routing problem (SDVRP) is a classic combinatorial optimization problem, which is usually solved using a heuristic algorithm. The ant colony optimization algorithm is an excellent heuristic algorithm that has been successfully ...
Xiaoxuan Ma, Chao Liu
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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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Clustering stock exchange data by using evolutionary algorithms for portfolio management [PDF]
, 2014 In present paper, imperialist competitive algorithm and ant colony algorithm and particle swarm optimization algorithm have been used to cluster stocks of Tehran stock exchange.
Nejad, Malek Khojasteh
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Computers, 2020 Using Internet of Things (IoT) solutions is a promising way to ensure that social distancing is respected, especially in common indoor spaces. This paper proposes a system of placement and relocation of people within an indoor space, using an intelligent
Malek Alrashidi
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