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Artificial bee colony (ABC) algorithm is an optimization technique that simulates the foraging behavior of honey bees, and has been successfully applied to various practical problems [citation needed]. ABC belongs to the group of swarm intelligence algorithms and was proposed by Karaboga in 2005. A set of honey bees, called swarm, can ...
In the ant colony optimization algorithms, an artificial ant is a simple computational agent that searches for good solutions to a given optimization problem. To apply an ant colony algorithm, the optimization problem needs to be converted into the problem of finding the shortest path on a weighted graph.
Atari 8-bit/Apple II. Adventure game. Phoenix Software. In November 2016 the source code for the Atari 8-bit and Apple II versions of Adventure in Time and Birth of the Phoenix were released by Kevin Savetz, along with partial code of The Queen of Phobos for Apple II.
Manufacturer. various. In beekeeping, a Langstroth hive is any vertically modular beehive that has the key features of vertically hung frames, a bottom board with entrance for the bees, boxes containing frames for brood and honey (the lowest box for the queen to lay eggs, and boxes above where honey may be stored) and an inner cover and top cap ...
Bees algorithm. In computer science and operations research, the bees algorithm is a population-based search algorithm which was developed by Pham, Ghanbarzadeh et al. in 2005. [1] It mimics the food foraging behaviour of honey bee colonies.
Boids. Boids is an artificial life program, developed by Craig Reynolds in 1986, which simulates the flocking behaviour of birds, and related group motion. His paper on this topic was published in 1987 in the proceedings of the ACM SIGGRAPH conference. [1] The name "boid" corresponds to a shortened version of "bird-oid object", which refers to ...
Swarm intelligence. Swarm intelligence ( SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. [1]