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JournalISSN: 2146-0957

International Journal of Optimization and Control : Theories & Applications 

Balıkesir University
About: International Journal of Optimization and Control : Theories & Applications is an academic journal published by Balıkesir University. The journal publishes majorly in the area(s): Computer science & Biology. It has an ISSN identifier of 2146-0957. It is also open access. Over the lifetime, 26 publications have been published receiving 67 citations. The journal is also known as: e-IJOCTA.

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Journal ArticleDOI
TL;DR: The performance of artificial bee colony algorithm (ABC), one of the intelligentoptimization techniques, is investigated on constrained problems and the effect of some modifications on the performance of the algorithm is examined.
Abstract: Optimization problems are generally classified into two main groups:unconstrained and constrained. In the case of constrainedoptimization, special techniques are required to handle withconstraints and produce solutions in the feasible space. Intelligentoptimization techniques that do not make assumptions on the problemcharacteristics are preferred to produce acceptable solutions to theconstrained optimization problems. In this study, the performance ofartificial bee colony algorithm (ABC), one of the intelligentoptimization techniques, is investigated on constrained problems andthe effect of some modifications on the performance of the algorithmis examined. Different variants of the algorithm have been proposedand compared in terms of efficiency and stability. Depending on theresults, when DE operators were integrated into ABC algorithm'sonlooker phase while the employed bee phase is retained as in ABCalgorithm, an improvement in the performance was gained in terms ofthe best solution in addition to preserving the stability of thebasic ABC. The ABC algorithm is a simple optimization algorithm thatcan be used for constrained optimization without requiring a prioriknowledge.

32 citations

Journal ArticleDOI
TL;DR: F fuzzy tumor growth modeling insights based on fuzziness are examined to reduce tumor uncertainty and achieve a degree of realism.
Abstract: For treating cancer, tumor growth models have shown to be a valuable resource, whether they are used to develop therapeutic methods paired with process control or to simulate and evaluate treatment processes. In addition, a fuzzy mathematical model is a tool for monitoring the influences of various elements and creating behavioral assessments. It has been designed to decrease the ambiguity of model parameters to obtain a reliable mathematical tumor development model by employing fuzzy logic.The tumor Gompertz equation is shown in an imprecise environment in this study. It considers the whole cancer cell population to be vague at any given time, with the possibility distribution function determined by the initial tumor cell population, tumor net population rate, and carrying capacity of the tumor. Moreover, this work provides information on the expected tumor cell population in the maximum period. This study examines fuzzy tumor growth modeling insights based on fuzziness to reduce tumor uncertainty and achieve a degree of realism. Finally, numerical simulations are utilized to show the significant conclusions of the proposed study.

10 citations

Journal ArticleDOI
TL;DR: This work has modeled coronavirus disease as an optimal control problem based on the models of William Ogilvy Kermack et Anderson Gray McKendrick, and compared results of two methods namely the indirect method (shooting method) and the Euler discretization method, implemented in MATLAB.
Abstract: Coronavirus disease of 2019 or COVID-19 (acronym for coronavirus disease 2019) is an emerging infectious disease caused by a strain of coronavirus called SARS-CoV-22, contagious with human-to-human transmission via respiratory droplets or by touching contaminated surfaces then touching them face Faced with what the world lives, to define this problem, we have modeled it as an optimal control problem based on the models of William Ogilvy Kermack et Anderson Gray McKendrick, called SEIR model, modified by adding compartments suitable for our study Our objective in this work is to maximize the number of recovered people while minimizing the number of infected We solved the problem theoretically using the Pontryagin maximum principle, numerically we used and compared results of two methods namely the indirect method (shooting method) and the Euler discretization method, implemented in MATLAB

5 citations

Journal ArticleDOI
TL;DR: In this paper, an experimental design was carried out based on central composite design (CCD) with response surface methodology(RSM), and the optimum operating parameters and the minimum cold water temperature using RSM method were presented.
Abstract: Performance of the coolig tower was analysed with various operating parameters and find the minimum cold water temperature. In this study, optimization of operating parameters was investigated. An experimental design was carried out based on central composite design(CCD) with response surface methodology(RSM). This paper presents optimum operating parameters and the minimum cold water temperature using RSM method. The RSM was used to evaluate the effects of operating variables and their interaction towards the attainment of their optimum conditions. Based on statistical analysis, water flow, air flow, hot water temperature and packing height were high significant on cold water temperature, with very low probability values(<0.0001). The optimum operating parameters predicted using RSM method and confirmed through experiment.

4 citations

Journal ArticleDOI
TL;DR: In this paper , the authors employ a modified Lotka-Volterra (LV) equations (also known as the Predator-Prey Model) to study the competition among different payment mechanisms.
Abstract: Technology has revolutionized the way transactions are carried out in economies across the world. India too has witnessed the introduction of numerous modes of electronic payment in the past couple of decades, including e-banking services, National Electronic Fund Transfer (NEFT), Real Time Gross Settlement (RTGS) and most recently the Unified Payments Interface (UPI). While other payment mechanisms have witnessed a gradual and consistent increase in the volume of transactions, UPI has witnessed an exponential increase in usage and is almost on par with pre-existing technologies in the volume of transactions. This study aims to employ a modified Lotka-Volterra (LV) equations (also known as the Predator-Prey Model) to study the competition among different payment mechanisms. The market share of each platform is estimated using the LV equations and combined with the estimates of the total market size obtained using the Auto-Regressive Integrated Moving Average (ARIMA) technique. The result of the model predicts that UPI will eventually overtake the conventional digital payment mechanism in terms of market share as well as volume. Thus, the model indicates a scenario where both payment mechanisms would coexist with UPI being the dominant (or more preferred) mode of payment.

3 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202312
202210
20211
20201
20171
20141