A new hybrid method based on Particle Swarm Optimization, Ant Colony Optimization and 3-Opt algorithms for Traveling Salesman Problem
By Mostafa Mahi, Ö. K. Baykan, H. Kodaz. Applied Soft Computing, 2015
348 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Building and Construction, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/8f172e906845171ee4b127402c8949b097930ad4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ali Asghar Heidari
- Huiling Chen
- Iman Ahmadianfar
- Amir H. Gandomi
- Sanchita Basak
- Saptarshi Sengupta
- R. Peters
- Saeed Noshadian
In Building and Construction
In Industrial and Manufacturing Engineering
- Ali Asghar Heidari
- Huiling Chen
- Iman Ahmadianfar
- Amir H. Gandomi
- Sanchita Basak
- Saptarshi Sengupta
- R. Peters
- Saeed Noshadian
Citations in the corpus
- Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives (2018, methodology): “Mahi et al [112] came up with a hybrid approach combining PSO, ACO and 3-opt algorithm where the parameters concerning the optimization of ACO are determined by PSO and the 3-opt algorithm helps ACO to avoid stagnation in local optima.”
- A novel collaborative optimization algorithm in solving complex optimization problems (2016, methodology): “Mahi et al. (2015) proposed a new hybrid method to optimize parameters that affect performance of the ACO algorithm using PSO.”
- INFO: An efficient optimization algorithm based on weighted mean of vectors (2022, methodology): “As soon as ACO was proposed, it was applied to the traveling salesman problem of 3-spots [25] and some complex optimization problems[26], and achieved satisfactory results.”