WitrynaSwarm Optimization techniques such as the Nature inspired Artificial Bee Colony (ABC) algorithm have been successfully used to solve a variety of Optimization problems in Wireless Sensor Networks. The ABC algorithm is discussed in this paper, along with its various applications, and some improvements to the ABC algorithm are also reviewed. Witryna29 kwi 2024 · Artificial bee colony algorithm (ABC) ABC mainly contains four phases: initialization phase, employed bee phase, onlooker bee phase and scout bee …
An improved artificial bee colony algorithm for range image ...
The improved bee colony algorithm is used to segment the standard image and the engineering drawing image with the 2-D linear cross entropy as the fitness function, and good segmentation results have been achieved. But different methods are used to segment the same image, other … Zobacz więcej For single threshold segmentation, the change range of T is [0, 2 × 255], according to the two-dimensional straight line cross … Zobacz więcej The same environment and parameters as 4.2 are applied to segment the threshold of noisy engineering drawing image as shown in Fig. 12a. The image of this kind of engineering … Zobacz więcej 2-D linear cross entropy is used as the fitness function in order to verify effectiveness of the image threshold segmentation by … Zobacz więcej Witryna4 sie 2024 · An Improved Artificial Bee Colony Algorithm for Model-Free Active Noise Control: Algorithm and Implementation Abstract: Active noise control (ANC) usually … greek mythology time period
Improved Artificial Bee Colony Algorithm for Continuous …
Witryna31 gru 2016 · This paper presents an improved artificial bee colony (IABC) algorithm for solving the blocking flowshop problem with the objective of minimizing makespan. The proposed IABC algorithm... Witryna18 lip 2024 · An Improved Artificial Bee Colony Algorithm With its Application Abstract: The artificial bee colony is a popular evolutionary algorithm that exhibits … WitrynaThe ABC algorithm is a population-predicated metaheuristic algorithm that simulates the foraging behavior of honey bee swarms. This technique is very easy to implement and effective. There are three groups of foraging bees in the ABC: employed bees, onlooker bees, and scout bees. greek mythology trading cards