Performance analysis of the multi-objective ant colony optimization algo- rithms for the traveling salesman problem. Swarm and Evolu- tionary Computation, 23:11-26, 2015.Ariyasingha, I., & Fernando, T. (2015). Performance analysis of the multi-objective ant colony optimization algorithms for ...
Except for solving TSP, another obvious advantage of ant colony optimization algorithm is that it has good universality and expandability, which makes it easy to combine with other algorithms to improve the optimization performance. Therefore, the ant colony optimization has a great potential for ...
4. Conclusion This tutorialintroduces the Ant Colony Optimization algorithm. You can learn about genetic algorithmswithout any previous knowledgeof this area, having only basic computer programming skills. The complete source code for the code snippets in this tutorial is availablein the GitHub project....
A CodeProject article, where Ant Colony Optimization algorithms are discussed and Isula is used to implement them. Support Feel free to contact mevia email, or create a GitHub Issue here.
Ant Colony Algorithms for Combinatorial OptimizationNumber ants
A collection of Ant Colony Optimization (ACO) algorithms for the data mining classification and regression tasks - febo/myra
Ant Colony Optimization Algorithm(蚁群优化算法) Ant Colony Optimization Algorithm Nada M. A. Al Salami dr_nada71@ ABSTRACT Hybrid algorithm is proposed to solve combinatorial optimization problem by using Ant Colony and Genetic programming algorithms. Evolutionary process of Ant Colony Optimization ...
Sun X Y, Sun L Y. Ant colony optimization algorithms for scheduling the mixed model assembly lines. In: Proceedings of the 1st International Conference on Advances in Natural Computation. Changsha, China: Springer, 2005. 911-914Sun, X.-Y. and Sun, L.-Y., Ant colony optimization algorithms...
Ant colony optimization (ACO) algorithms have shown good performance for the VRP, where a population of ants cooperate and construct vehicle routes [5]. The cooperation mechanism of ants is achieved via their pheromone trails, where each ant deposits pheromone to its trails and the remaining ants...
a linear system. The output weights which attach the hidden layer to the output layer in the linear system can now be analytically solved by generalized inverse operation of the hidden layer output matrices. Thus, the ELM model is faster than the conventional feedforward learning algorithms59,60...