Unmanned Combat Aerial Vehicles Path Planning Using a Novel Probability Density Model Based on Artificial Bee Colony Algorithm
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Updated
Nov 29, 2018 - MATLAB
Unmanned Combat Aerial Vehicles Path Planning Using a Novel Probability Density Model Based on Artificial Bee Colony Algorithm
ABC+PSO Path Planning
[A PART OF MY BACHELOR THESIS] Efficient Design of FIR filter using G_best Guided Cuckoo Search Meta-heuristic Algorithm
A balance-evolution artificial bee colony algorithm for protein structure optimization based on a three-dimensional AB off-lattice model
Files accompanying the paper "A comparison of nature inspired algorithms for multi-threshold image segmentation", published on 2013. To date, this is my most cited work.
Artificial Bee Colony (ABC) in MATLAB
Files accompanying the paper "Segmentation of Blood Cell Images Using Evolutionary Methods", published in 2013.
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.
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