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Keyword: Heuristic method
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Open AccessArticle
10 Pages, 845 KB Download PDF

Heuristic Techniques as Part of Heuristic Methods and Interaction of Personality Types in their Application

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 208–217, 2021; DOI: 10.25046/aj060123
Abstract:

The widespread team project method is more effective when used in conjunction with heuristic methods. The large number of heuristic methods and the variety of their descriptions create a problem to prepare students for the use of these methods. A method based on two areas of knowledge – heuristics and psychology – is proposed. The…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Operations Research & Management Science (ORM))
Open AccessArticle
10 Pages, 1,035 KB Download PDF

Applications of the Heuristic Optimization Approach for Determining a Maximum Flow Problem Based on the Graphs’ Theory

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 175–184, 2020; DOI: 10.25046/aj050621
Abstract:

In the present paper, a universal approach for determining the maximum flow problem in directed graph for solving different problems is applied. It can be considered as a heuristic and it can be used as a denomination for analyzing an arbitrary system with a mathematical description as a directed graph. The physical nature of the…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Applied Mathematics (MAP))
Open AccessArticle
16 Pages, 1,387 KB Download PDF

Parallelizing Combinatorial Optimization Heuristics with GPUs

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 6, Page # 265–280, 2018; DOI: 10.25046/aj030635
Abstract:

Combinatorial optimization problems are often NP-hard and too complex to be solved within a reasonable time frame by exact methods. Heuristic methods which do not offer a convergence guarantee could obtain some satisfactory resolution for combinatorial optimization problems. However, it is not only very time consuming for Central Processing Units (CPU) but also very difficult…

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(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
9 Pages, 1,109 KB Download PDF

Heuristic Based Approach for Voltage Stability Improvement using FACTS Devices

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 6, Page # 252–260, 2017; DOI: 10.25046/aj020630
Abstract:

The aim of this paper is to develop a hybrid device for voltage stability enhancement using two kinds of FACTS (Flexible AC Transmission System) namely SVC (Static Var Compensator) and TCSC (Thyristor Controlled Series Capacitor). The idea behind the proposed method is to maintain safe and satisfactory power system operation in a lesser costing manner…

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(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Electrical Engineering (ELE))
Open AccessArticle
9 Pages, 636 KB Download PDF

The Performance of Project Teams Selected Based on Student Personality Types: A Longitudinal Study

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 1128–1136, 2021; DOI: 10.25046/aj0601126
Abstract:

The use of heuristic methods in teaching is not possible without the cooperation of all or part of the students’ academic group. That is, the teacher who made the decision to apply the heuristic method de facto solves the issues of organizing project method in teaching. There are a large number of indications on the…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Behavioral Sciences (BHS))
Open AccessArticle
9 Pages, 1,129 KB Download PDF

Artificial Bee Colony-Optimized LSTM for Bitcoin Price Prediction

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 5, Page # 375–383, 2019; DOI: 10.25046/aj040549
Abstract:

In recent years, deep learning has been widely used for time series prediction. Deep learning model that is most often used for time series prediction is LSTM. LSTM is widely used because of its excellence in remembering very long sequences. However, doing training on models that use LSTM requires a long time. Trying from one…

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(This article belongs to Section Cybernetics in Computer Science (CCY))

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