Peak selection from MALDI-TOF mass spectra using ant colony optimization

By H. Ressom, R. Varghese, S. Drake, G. Hortin, M. Abdel-Hamid, Christopher A. Loffredo, R. Goldman. Bioinform., 2007

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Metaheuristic research: a comprehensive survey (2018, methodology): “Subsequently, the field of metaheuristics properly kicked off by the introduction of SS&PR (Glover 1997), PSO (Eberhart and Kennedy 1995), DE (Storn and Price 1997), and ACO (Dorigo 1992).”
Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions (2011, background): “In these cases, the network is more appropriately referred to as a robotic network and/or as a sensor-actor network.”
Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach (2016, background): “For example an individual ant composes a candidate solution, beginning with an empty solution and adding solution components iteratively until a final candidate solution has been generated [28].”
Iterated Local Search: Framework and Applications (2018, background): “The second class comprises metaheuristics like GRASP [30], ant colony optimization (ACO) [28], evolutionary and memetic algorithms [3, 67, 69], scatter search [35], variable neighborhood search (VNS) [38, 68] and ILS.”