Bar graphs of the root mean squared error (RMSE) encountered by the ant colony optimisation algorithm in the selection of training study stations for each testing study station: Station 1: Rahimyar Khan, Station 2: D. G. Khan, Station 3: Kasur, Station 4: Sialkot, Station 5: Rawalpindi...
Ant colony optimization algorithmHeuristic algorithmJob Shop Scheduling Problem (JSSP) is one of classic combinatorial optimization problems and has a long research history. Modern job shop has following characteristics: increasingly complicated processes, small batch and personalized requirement, which lead ...
Firstly, Ant Colony System and Max–Min Ant System form heterogeneous colonies. Secondly, to diversify the solutions of the algorithm, the Shapley value in the cooperative game is applied to share the information by distributing the pheromone payoff of the sub-colonies. In addition, the dynamic ...
The algorithm flow chart is as shown in Fig. 1. Fig. 1 Flowchart of the ant colony clustering algorithm with mutation characteristics Full size image As Fig. 1 shows, F is the mean square error of various properties of various sample points F to the clustering center; F _ temp ...
Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Amir Heydarinasab & Saeed Shirazian Scientific Reports volume 10, Article number: 21884 (...
Given these unique advantages of the ACO algorithm and its potential in solving similar problems, choosing it as the core method for addressing the clustering of athlete behavior characteristics is reliable. Fig. 1 displays the mechanism of the ant colony finding the shortest path. Download: Downloa...
Their algorithm is based on the multiple ant colony approach for solving the TSP. Their experimental results show that both the efficiency and solution quality are improved by their approach. This type of parallel ACOs is based on the task parallel ACO model (TPAM). The main concept of the ...
In this research work, we exploit the bio-inspired Ant Colony Optimization (ACO) algorithm called “Ant-Hocnet” along with fuzzy logic to improve routing in FANET. Fuzzy logic considers the communication wireless link status info (i.e., available bandwidth, node mobility, and link quality) an...
The application of ant colony algorithm in the task scheduling of cloud computing is studied in this paper. In a data center of cloud computing, there are n virtual hosts, they are set as Vm1; Vm2; Vm3; Á Á Á ; Vmn. Each virtual host has a different MIPS (millions of ...
This paper is a first step to deal with the DJSP using three versions of a bio-inspired algorithm, namely the Ant Colony Optimization (ACO) which are the Ant System (AS), the Ant Colony System (ACS) and a Modified Ant Colony Optimization (MACO) aiming to explore more search space and...