Apr 15, 2012 · In the first method, the scout bee follows a non-linear interpolated path while in the second one, scout bee follows Gaussian movement.
Artificial bee colony algorithm (ABC) is a new computational technique devel- oped by Karaboga [1] based on simulating the foraging behavior of honey bee swarm.
In this paper, artificial bee colony with the rate of change technique which models the behaviour of scout bee to improve the performance of the standard ABC in ...
However, it is found that the ABC algorithm prefers exploration at the cost of the exploitation. ABC algorithm sometimes shows early convergence and stagnation.
In the present study, we propose two new mechanisms for the movements of scout bees. In the first method, the scout bee follows a non-linear interpolated path ...
In this work, we propose an improved solution search equation in scout bee phase. In addition, the initial population is generated by piecewise Logistic ...
In the basic Artificial Bee Colony (ABC) algorithm, if the fitness value associated with a food source is not improved for a certain number of specified trials ...
The honey bees in this algorithm are categorized into three groups: employed bees, onlooker bees, and scout bees. The first half of the colony consists of ...
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Oct 22, 2024 · An enhanced Artificial Bee Colony (ABC) optimization algorithm, which is called the Interactive Artificial Bee Colony (IABC) optimization, for ...
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Artificial Bee Colony (ABC) algorithm is a meta-heuristic algorithm, is inspired by the bee's food search behaviour based on swarm intelligence.