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.

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 ...

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

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.

An analysis of ant colony behavior could yield better algorithms for network communication, say investigators. Biologists have long suspected that ants base their population-density estimates on ...

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.