Multiobjective reactive power compensation with an ant colony optimization algorithm

2006 ◽  
Author(s):  
P. Gardel
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Reactive Power ◽  
Reactive Power Compensation ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm

Optimal reactive power dispatch using ant colony optimization algorithm

2011 ◽  
Vol 93 (2) ◽  
pp. 103-116 ◽  
Author(s):  
A. A. Abou El-Ela ◽  
A. M. Kinawy ◽  
R. A. El-Sehiemy ◽  
M. T. Mouwafi
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Reactive Power ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch

Modeling and optimizing logistics, information, economic and financial intercluster cooperation using the ant colony optimization algorithm

2020 ◽  
Vol 26 (11) ◽  
pp. 2427-2447
Author(s):  
S.N. Yashin ◽  
E.V. Koshelev ◽  
S.A. Borisov
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Population Decline ◽  
Innovation System ◽  
Federal District ◽  
Original Model ◽  
Ant Colony ◽  
Industrial Agglomeration ◽  
Ant Colony Optimization Algorithm

Subject. This article discusses the issues related to the creation of a technology of modeling and optimization of economic, financial, information, and logistics cluster-cluster cooperation within a federal district. Objectives. The article aims to propose a model for determining the optimal center of industrial agglomeration for innovation and industry clusters located in a federal district. Methods. For the study, we used the ant colony optimization algorithm. Results. The article proposes an original model of cluster-cluster cooperation, showing the best version of industrial agglomeration, the cities of Samara, Ulyanovsk, and Dimitrovgrad, for the Volga Federal District as a case study. Conclusions. If the industrial agglomeration center is located in these three cities, the cutting of the overall transportation costs and natural population decline in the Volga Federal District will make it possible to qualitatively improve the foresight of evolution of the large innovation system of the district under study.

Application of Improved Multi-Objective Ant Colony Optimization Algorithm in Ship Weather Routing

2021 ◽  
Vol 20 (1) ◽  
pp. 45-55
Author(s):  
Guangyu Zhang ◽  
Hongbo Wang ◽  
Wei Zhao ◽  
Zhiying Guan ◽  
Pengfei Li
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm ◽  
Multi Objective ◽  
Weather Routing

scholarly journals Fast update method of new equipment status in IMS network based on ant colony optimization algorithm

2021 ◽  
Vol 1948 (1) ◽  
pp. 012049
Author(s):  
Lili Sun ◽  
Hongting Zhai ◽  
Qi Zhai ◽  
Liang Li ◽  
Qingrui Zhang
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm

A unified ant colony optimization algorithm for continuous optimization

2014 ◽  
Vol 234 (3) ◽  
pp. 597-609 ◽  
Author(s):  
Tianjun Liao ◽  
Thomas Stützle ◽  
Marco A. Montes de Oca ◽  
Marco Dorigo
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Continuous Optimization ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm
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