Shelokar, P. Shingade, V. Pote, R. Baskar, B.D. Kulkarni, Ant colony optimization: details of algorithms suitable for process engineering, in: G.P. Rangaiah (Ed.), Stochastic Global Optimization: Techniques and Appli- cations in...
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 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 ...
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...
Ant Colony Algorithms for Combinatorial OptimizationNumber ants
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 ...
–AntColonyOptimization–Applications:AsimpleTSPexample Introduction Background •Discreteoptimizationproblemsdifficulttosolve•“Softcomputingtechniques”developedinpasttenyears:–Geneticalgorithms(GAs)•basedonnaturalselectionandgenetics –AntColonyOptimization(ACO)•modelingantcolonybehavior Background,cont.•...
Ant colony optimization (ACO) has been successfully applied to classification, where the aim is to build a model that captures the relationships between th
A collection of Ant Colony Optimization (ACO) algorithms for the data mining classification and regression tasks - febo/myra