All Outputs (102)

An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem
Presentation / Conference Contribution
Du, X., Bai, R., Cui, T., Qu, R., & Li, J. (2022, July). An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem. Presented at 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, Padua, Italy

A competitive traveling salesmen problem is a variant of traveling salesman problem in that multiple agents compete with each other in visiting a number of cities. The agent who is the first one to visit a city will receive a reward. Each agent aims... Read More about An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem.

Sequential Rule Mining for Automated Design of Meta-heuristics
Presentation / Conference Contribution
Meng, W., & Qu, R. (2023, July). Sequential Rule Mining for Automated Design of Meta-heuristics. Presented at GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion, New York, USA

With a recently defined AutoGCOP framework, the design of local search algorithms can be defined as the composition of the basic elementary algorithmic components. These compositions into the best algorithms thus retain useful knowledge of effective... Read More about Sequential Rule Mining for Automated Design of Meta-heuristics.