Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...

Abstract: Aiming at the problem that ant colony algorithm is easy to fall into local optima and slow convergence, a multi-colony collaborative ant optimization ...

1 Department of Computer Science, Ignatius Ajuru University, Port Harcourt, Nigeria. 2 Department of Computer Science, Federal University, Yenagoa, Nigeria. Adaptability and dynamicity are special ...

Ant behavior was the inspiration for the optimization technique. Image via Wiki Commons. Scientists often look to unexpected places to find inspiration for algorithms — and this is one of those ...

The shortest path problem is solved by many methods including heuristics that offer lower complexity in expense of accuracy. There are many use-cases where the lower accuracy is acceptable in return ...

The Ant colony Optimization algorithm is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs (source). This implementation of the ACO ...

Abstract: In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-population strategy, co-evolution mechanism, pheromone updating strategy, and pheromone diffusion ...