Accelerating genetic algorithm evolution via ant-based mutation and crossover for application to large-scale TSPs
Author:
Affiliation:
1. University of Exeter, UK
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3520304.3534020
Reference35 articles.
1. GAACO: A GA + ACO Hybrid for Faster and Better Search Capability
2. Development a new mutation operator to solve the Traveling Salesman Problem by aid of Genetic Algorithms
3. The “molecular” traveling salesman
4. Ant-Based Crossover for Permutation Problems
5. SmartPATH: An Efficient Hybrid ACO-GA Algorithm for Solving the Global Path Planning Problem of Mobile Robots
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1. An Adaptive Layered Clustering Framework with Improved Genetic Algorithm for Solving Large-Scale Traveling Salesman Problems;Electronics;2023-04-02
2. Ant Colony Optimization with Simulated Annealing Algorithm for Google Maps;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17
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