A Heuristic Approach for Optimal Planning and Operation of Distribution Systems

Alzaidi, Khalid Mohammed Saffer; Bayat, Oğuz; Uçan, Osman N.

doi:10.1155/2018/6258350

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…In literature, various versions of the PSO-SVM algorithm have been developed for different issues in multiple scientific fields. In comparison to the literature, the PSO and SVM clustering algorithms have been observed to be extremely successful for their own concerns [29][30][31][34][35][36][37][38][39][40][41][42][43]. This study successfully created a combined version of the algorithm, as well as its computer code.…”

Section: Resultsmentioning

confidence: 99%

“…where w represents corresponding weights, c 1 , c 2 are acceleration coefficients (cognitive parameter, social parameter), rand 1 , rand 2 are uniformly distrubed random numbers between 0 and 1, V old p gives velocity of individual p at the iteration, X old p determines position of individual p at the current iteration, P best and gbest indicate the best local value of each particle and the best value of swarm, respectively [30], [31].…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

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Prediction of anemia with a particle swarm optimization-based approach

Ahmad

Saffer

Sarı

et al. 2023

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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Healthcare enables the maintenance of health through some physical and mental care for the prevention, diagnosis and treatment of disease. Diagnosis of anemia, one of the most common health problems of the age, is also very ambitious. Whereas, pathological individuals could be predicted through various biomedical variables using some appropriate methods. In order to estimate these individuals just by taking into account biological data, particle swarm optimization (PSO) and support vector machine (SVM) clustering techniques have been merged (PSO-SVM). In this respect, the dataset provided has been divided into five clusters based on anemia types consisting of 539 subjects in total, and the anemia values of each subject have been recorded according to corresponding biomedical variables taken as independent parameters. The findings of the PSO-SVM method have been compared to the results of the SVM algorithm. The hybrid PSO-SVM method has proven to be quite effective, particularly in terms of the high predictability of clustered disease types. it is possible to lead the successful creation of appropriate treatment programs for diagnosed patients without overlooking or wasting time during treatment.

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Section: Resultsmentioning

confidence: 99%

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Prediction of anemia with a particle swarm optimization-based approach

Ahmad

Saffer

Sarı

et al. 2023

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

Self Cite

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“…The particles keep the best value in their memory. This value, P best , is listed for each particle and the best value is selected according to the …tness function such as G best [39,42,43].…”

Section: Study Samplesmentioning

confidence: 99%

“…The swarm size plays a very important role in the PSO, as is the complexity and sturdiness of the algorithm. As shown in Figure 1, the PSO algorithm was inspired by the literature [21,42].…”

Section: Figure 1 the Pso Algorithmmentioning

confidence: 99%

Medical model estimation with particle swarm optimization

Sarı¹,

Ahmad²,

Uslu³

2021

Communications Faculty of Science University of Ankara Series A1Mathematics and Statistics

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In this paper, a nonlinear medical model based on observational variables has been produced and the particle swarm optimization (PSO) technique, which is an e¤ective technique to predict optimum parameters of the biomedical model, has been used. This study has been conducted on a dataset consisting of 539 subjects. For comparison purposes, nonlinear regression analysis, nonlinear deep learning, and nonlinear regression neural network methods are also considered and the PSO results appear to be slightly better than that of other methods. Built on observational variables and …ndings, the model is expected to be a good guide for healthcare professionals in diagnosing pathologies and planning treatment programs for their patients. It is therefore strongly believed that the article will be particularly useful for those interested in emerging biomedical models in various medical modelling areas such as infectious and hematological diseases such as anemia.

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“…A heuristic approach is used for the solution of this model example which can be easily implemented to optimise the production logistics system. It is based on the experience of the authors who present examples of theoretical and practical bases, for example, in [43], [44], [45], or [46] who provides satisfactory decision support.…”

Section: Introductionmentioning

confidence: 99%

Comparative Simulation Analysis of the Performance of the Logistics Manufacturing System at the Operative Level

Bucki

Suchánek

2019

Complexity

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The article focuses on one of the current problems of manufacturing systems which consist of individual machines equipped with dedicated tools that are replaced when they are worn out. It is assumed that the machines are located within the reach of the robotic arm which carries out transport operations of semifinished products to designated production machines and storage containers in accordance with the production time period. The aim is to find such an arrangement of production activities, respectively, production paths for a given set of orders that will be effective from the time and cost point of view. Moreover, the whole issue is solved with regard to possible failures of individual stands, overfilling of some tanks, etc. The theory and practice of creating and using simulators as tools for the definition and verification of production plans are used to solve this issue. The starting point is the creation of a mathematical simulation model with the necessary but acceptable degree of simplification. The mathematical simulation model is tested on sample data in a feasibility study to perform a detailed usability analysis of the model. The output of the article is a simulation model for which, based on the analysis of simulation results, patterns of possible use in specific types of enterprises are given.

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A Heuristic Approach for Optimal Planning and Operation of Distribution Systems

Cited by 5 publications

References 13 publications

Prediction of anemia with a particle swarm optimization-based approach

Prediction of anemia with a particle swarm optimization-based approach

Medical model estimation with particle swarm optimization

Comparative Simulation Analysis of the Performance of the Logistics Manufacturing System at the Operative Level

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