Ant-colony optimization algorithm is an evolutionary learning algorithm which could be applied to solve the complex problems.

B Yu, Z-Z Yang, J-X Xie, A parallel improved ant colony optimization for multi-depot vehicle routing problem, The Journal of the Operational Research Society, Vol. 62, No. 1 (January 2011), pp.

Scientists found that ants and other natural systems use optimization algorithms similar to those used by engineered systems, including the Internet.

ABSTRACT Growing concerns about the environment, energy dependency, and the unstable fuel prices have increased the sales of electric vehicles. Energy-efficient routing for electric vehicles requires ...

Optimization 3: Combining/Balancing MPI Ranks and OpenMP Threads Summary Background: The ACO Algorithm When ants search for food, they deposit pheromones along their paths, which attract more ants.

A single ant isn't very smart. But huge colonies of ants are capable of complex feats of organisation – and it's all thanks to their clever biological algorithms ...

Researchers from Xinjiang University have developed an improved ant colony algorithm for dynamic job allocation in agricultural machinery, reducing operational costs and improving efficiency in ...

The idea isn't entirely new, as a probabilistic algorithm called ant colony optimization (ACO) has been known to the IT community for some time.