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Süresiz Ambargo

3D Path Planning Method for Multi-UAVs Inspired by Grey Wolf Algorithms

Mohammed Ahmed Shah

Efficient and collision-free pathfinding, between source and destination locations for multi-Unmanned Aerial Vehicles (UAVs), in a predefined environment is an important topic in 3D Path planning methods. Since path planning is a Non-deterministic Polynomial-time (NP-hard) problem, metaheuristic approaches can be applied to find a suitable solution. In this study, two efficient 3D path planning methods, which are inspired by Incremental Grey Wolf Optimization (I-GWO) and Expanded Grey Wolf Optimization (Ex-GWO), are proposed to solve the problem of determining the optimal path for UAVs with mi ...Daha fazlası

Makale 2021 Journal Of Internet Technology22 ( 4 ) , pp. 7 - 755 100 Görüntülenme Süresiz Ambargo

Erişime Açık

Features of Metaheuristic Algorithm for Integration with ANFIS Model

Aref Yelghı

In recent years, many applications based on the Neural Network, Neuro-Fuzzy, and optimization algorithms have been more common for solving regression and classification problems. In the Adaptive Neuro-fuzzy inference system(ANFIS), many researchers used the adaption of metaheuristic algorithms with ANFIS to propose the best estimation model. However, many researchers only focused on the experiment without the demonstration mathematical or indicating which characteristic of optimization algorithm, during the run, affect and settable in coordination with ANFIS. The paper provides an adaption of ...Daha fazlası

Makale 2022 2022 Internaiıonal Conference On Theoreiıcal And Applıed Computer Science And Engineering (Ictasce) , pp. 2 - 31 101 Görüntülenme

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A Two-Phase Pattern Generation and Production Planning Procedure for the Stochastic Skiving Process

Tolga Kudret Karaca

The stochastic skiving stock problem (SSP), a relatively new combinatorial optimization problem, is considered in this paper. The conventional SSP seeks to determine the optimum structure that skives small pieces of different sizes side by side to form as many large items (products) as possible that meet a desired width. This study studies a multiproduct case for the SSP under uncertain demand and waste rate, including products of different widths. This stochastic version of the SSP considers a random demand for each product and a random waste rate during production. A two-stage stochastic pro ...Daha fazlası

Makale 2023 Applied Computational Intelligence and Soft Computing2023 27 Görüntülenme

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Ambulance Vehicle Routing in Smart Cities Using Artificial Neural Network

Cevat Rahebi

This work proposes a routing ambulance vehicles method that uses the neural network. For the input of the neural network, eight features are selected. These features depend on the time, the position of the accident, ambulance and hospital, number of streets and injured person, type of accident, and age of the patient. With these features, the Ambulance can be decided to select the minimum route to find the nearest hospital. In this paper, we evaluate crucial metrics in responding to the accident, such as establishing temporary emergency units, the number of available ambulance units, and the c ...Daha fazlası

Kitap Bölümü 2022 International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2022 91 Görüntülenme Süresiz Ambargo

Süresiz Ambargo

2D Vector Representation of Binomial Hierarchical Tree Items

Metin Zontul | Seda Karateke

Today Artificial Intelligence (AI) algorithms need to represent different kinds of input items in numeric or vector format. Some input data can easily be transformed to numeric or vector format but the structure of some special data prevents direct and easy transformation. For instance, we can represent air condition using humidity, pressure, and temperature values with a vector that has three features and we can understand the similarity of two different air measurements using cosine-similarity of two vectors. But if we are dealing with a general ontology tree, which has elements "entity"as t ...Daha fazlası

Makale 2022 2022 International Conference On Theoretical And Applied Computer Science And Engineering (Ictasce) , pp. 1 - 126 135 Görüntülenme Süresiz Ambargo

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HARRIS HAWKS OPTIMIZATION FOR AMBULANCE VEHICLE ROUTING IN SMART CITIES

Cevat Rahebi

The ambulance routing problem is one of the capacitated ambulance routing problem forms. It deals with injuries and their requests for saving. Therefore, the main aim of the ambulance routing problem is to determine the minimum (i.e., optimum) required distances of between: 1) accident places and the ambulance station; 2) the location of the nearest hospital and the accident places. Although of the efforts proposed in the literature, determining the optimum route is crucial. Therefore, this article seeks to tackle ambulance vehicle routing in smart cities using Harris Hawks Optimization (HHO) ...Daha fazlası

Makale 2023 Eastern-European Journal of Enterprise Technologies2 ( 3-122 ) , pp. 7 - 81 93 Görüntülenme

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Enhancing Fault Detection and Classification in MMC-HVDC Systems: Integrating Harris Hawks Optimization Algorithm with Machine Learning Methods

Cevat Rahebi

Accurate fault detection in high-voltage direct current (HVDC) transmission lines plays a pivotal role in enhancing operational efciency, reducing costs, and ensuring grid reliability. Tis research aims to develop a cost-efective and high-performance fault detection solution for HVDC systems. Te primary objective is to accurately identify and localize faults within the power system. In pursuit of this goal, the paper presents a comparative analysis of current and voltage characteristics between the rectifer and inverter sides of the HVDC transmission system and their associated alternating cur ...Daha fazlası

Makale 2024 International Transactions on Electrical Energy Systems2024 20 Görüntülenme

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A Smart and Mechanized Agricultural Application: From Cultivation to Harvest

Metin Zontul

Food needs are increasing day by day, and traditional agricultural methods are not responding efficiently. Moreover, considering other important global challenges such as energy sufficiency and migration crises, the need for sustainable agriculture has become essential. For this, an integrated smart and mechanism-application-based model is proposed in this study. This model consists of three stages. In the first phase (cultivation), the proposed model tried to plant crops in the most optimized way by using an automized algorithmic approach (Sand Cat Swarm Optimization algorithm). In the second ...Daha fazlası

Makale 2022 Applied Sciences-Basel12 ( 12 ) 268 Görüntülenme

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MOBRO: multi-objective battle royale optimizer

Taymaz Akan

Battle Royale Optimizer (BRO) is a recently proposed optimization algorithm that has added a new category named game-based optimization algorithms to the existing categorization of optimization algorithms. Both continuous and binary versions of this algorithm have already been proposed. Generally, optimization problems can be divided into single-objective and multi-objective problems. Although BRO has successfully solved single-objective optimization problems, no multi-objective version has been proposed for it yet. This gap motivated us to design and implement the multi-objective version of B ...Daha fazlası

Makale 2023 JOURNAL OF SUPERCOMPUTING 43 Görüntülenme Süresiz Ambargo