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- W2894932719 abstract "As the real-world systems are getting more complex, we must come up with decentralized, individually smart, and collectively intelligent systems. To achieve this, a meta-heuristic algorithm was successfully tested against Sphere Test Optimization Function. In this algorithm, the ants use each other to reach the destination. Initially, they make three random moves. Afterward, a set percentage of ants explore (make another random move), and the others follow the ant with the most pheromone. Pheromone is given to an ant when it makes a move approaching the destination and taken away from each ant after every move. The results of the experiment will be discussed later in this paper." @default.
- W2894932719 created "2018-10-12" @default.
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- W2894932719 date "2018-10-04" @default.
- W2894932719 modified "2023-09-27" @default.
- W2894932719 title "Explore-Exploit-Explore in Ant Colony Optimization" @default.
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- W2894932719 doi "https://doi.org/10.1007/978-981-13-1610-4_19" @default.
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