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SimAnt: The Electronic Ant Colony is a 1991 life simulation video game by Maxis and the company's third product, focusing on the lifecycle of ants. It was designed by Will Wright . In 1992, it was named "Best Simulation Game" at the Software Publishers Association 's Codie awards . [ 2 ]
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Your colony can also fight different enemies throughout the game in turn based combat. The colonies fighting power is displayed by an attack and defense value based on the number of ants in the colony as well as the percentage of ants assigned to be soldiers. The health of the colony is the total number of ants in the colony.
Players control an ant colony. Like traditional real-time strategy games, players engage in base-building, but the ant colony is the base. Various types of ants comprise the factions, who gather resources in the form of food. [2] Having a surplus of food means that reinforcements can be quickly birthed, but running low can cause the colony to ...
Combat Flight Simulator 2; Combat Flight Simulator 3: Battle for Europe; SubLogic Flight Simulator series. FS1 Flight Simulator; Flight Simulator II (Sublogic) Microsoft Flight Simulator series Flight Simulator 1.0; Flight Simulator 2.0; Flight Simulator 3.0; Flight Simulator 4.0; Flight Simulator 5.0; Flight Simulator 5.1; Flight Simulator 95 ...
Ants!!! [7] [8] 1979 Brian Rotolante [9] Synergistic Solar Play: one queen ant presides over the top of the board while her opponent queen rests at the bottom, and each queen gets to produce offspring each turn to fight in the center of the screen. [10] Apple Panic [11] [12] 1982 Yves Lempereur Funsoft clone Armored Patrol [13] [14] 1981
This is a list of VIC-20 games. See lists of video games for other gaming platforms. A section at the bottom contains games written by hobbyists long after the mainstream popularity of the VIC-20 waned.
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. In the first step of each iteration ...