Research of Generalized Ant Colony Algorithm for Logistics and Distribution

Abstract

Logistics and distribution problem, in essence, is the vehicle routing problem, belonging to NP-hard problem. For drawbacks of basic ant algorithm such as searching for a long time, easy to fall into local optimum, generalized ant colony algorithm has been proposed. Applying the generalized ant colony algorithm to logistics and distribution problem can improve the utilization of the vehicle; reduce transportation costs and achieve the purpose of scientific management of logistics.

Admissible Perturbation of Demicontractive Operators within Ant Algorithms for Medical Images Edge Detection

“…The following is the representation of medical images provided with identified edges on the data-set of medical images using each considered operator from Equations ( 16)- (18). Figures 5-7 show respectively the Brain CT, Hand X-ray and Head CT results of all considered operators when using Ant Colony Optimization before and after Denoise Convolutional Neural Network (DnCNN).…”

“…Difficult problems needs highly-efficient algorithms to obtain feasible results. Nowadays, Ant Colony Optimization (ACO) [11,12] is a successfully probabilistic technique for solving complex problems as routing, assignment, scheduling problems [13][14][15][16] and some generalized versions as [17][18][19]. In 2019 Chowdhury did a case study with drones for wildlife surveillance [20].…”

“…Figure 6. Identified edges of Hand X-ray medical image using ACO (left) and ACO with DnCNN (right) with operators: (a) Sin operator Equation (16), (b) KH operator Equation (17), (c) Chi operator Equation(18).…”

“…), maximal (High), minimal (Low) and Average Absolute Deviation from median (Ave.Dev.) of overall results for ACO considering operators Sin Equation (16), proposed KH-operator Equation (17) and proposed operator Chi-operator Equation(18).…”