scholarly journals Choose The Best Project Based On Simulation Optimization And Ant Colony Optimization Algorithm

2013 ◽  
Vol 07 (02) ◽  
pp. 101-111
Author(s):  
Hamid Reza Feili ◽  
Alireza Farsi ◽  
Niloofar Nobahari
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Simulation Optimization ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm

scholarly journals Ant-colony-based simulation–optimization modeling for the design of a forced water pipeline system considering the effects of dynamic pressures

2009 ◽  
Vol 12 (2) ◽  
pp. 212-224 ◽  
Author(s):  
H. Abbasi ◽  
A. Afshar ◽  
M. R. Jalali
Keyword(s):  
Water Supply ◽  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Transient Flow ◽  
Simulation Optimization ◽  
Ant Colony ◽  
Pipeline System ◽  
Ant Colony Optimization Algorithm ◽  
Water Pipeline ◽  
Water Supply Pipeline

Valve and pump shut-off in water pipeline systems lead to transient flow. This flow is a complex phenomenon and is potentially a very serious problem causing extra dynamic pressure in the system. Within the last few decades, the evolutionary and meta-heuristic algorithms, such as genetic algorithms, simulated annealing. More recently, however, ant-colony optimization algorithms have received considerable attention. In this paper the procedure and application of the ant-colony optimization algorithm to the design of a water supply pipeline system, considering dynamic pressures arising from valve closure, is presented. A simulation–optimization interaction loop (SOIL) is defined that cycles between the steady-state and transient flow modules to describe the hydraulics of the pipeline and ant colony optimization algorithm. A hydraulic simulation module is coupled with the ant colony optimization algorithm to form an efficient and powerful software program which locates the pumping stations at any possible or predefined locations while optimizing their specifications, along with pipe diameters, at each decision point. The model may equally regard or disregard the dynamic pressures. Two examples are provided to illustrate the proposed methodology which is limited to the solution of any gravity and/or forced water supply pipeline which is typical for water supply systems.

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.

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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