Menu
I'm looking for a .NET-Class library or .NET-Framework which implements ant colony optimization. Can you give me any links, resources, etc. about this topic.
573
Ant colony optimization (ACO) is a population-based metaheuristic that can be used to find approximate solutions to difficult optimization problems. In ACO, a set of software agents called artificial ants search for good solutions to a given optimization problem.
Ant Colony Optimization (ACO) is a meta-heuristic solution method that has recently emerged in the literature to solve complex combinatorial optimization problems (Alba and Dorronsoro, 2006;Stützle and Dorigo, 2003).
2 Ant colony optimization. ACO, developed by Marco Dorigo in 1992 (Dorigo, 1992), was the first swarm intelligence-based algorithm. In essence, ACO mimics the foraging behavior of social ants in a colony, and pheromone is used for simulating the local interactions and communications among ants.
2. Genetic algorithm and ant colony optimization. GA and ACO are population-based search algorithms by maintaining a population of structures as key elements in design and implementation of problem solving algorithms.
Konrad Rudolph has published a short tutorial on ACO's on a german programming website.
It contains a fully-working VB.NET example project (in English) solving a Traveling Salesman Problem using an ACO.
120
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
