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Enhanced Heap-Based Optimizer Algorithm for Solving Team Formation Problem

Computers, Materials & Continua 2022年第12期73卷 5245-5268页

作者： Nashwa Nageh ahmed elshamy Abdel Wahab Said Hassan Mostafa Sami Mustafa Abdul Salam Faculty of Science Suez Canal UniversityIsmailiaEgypt Faculty of Computers and Artificial Intelligence Helwan UniversityHelwanEgypt Faculty of Computers and Artificial Intelligence Benha UniversityBenha 13518Egypt Faculty of Computer Studies Arab Open UniversityCairoEgypt

Team Formation(TF)is considered one of the most significant problems in computer science and *** is defined as forming the best team of experts in a social network to complete a task with least *** real-world problems,such as task assignment,vehicle routing,nurse scheduling,resource allocation,and airline crew scheduling,are based on the TF *** has been shown to be a Nondeterministic Polynomial time(NP)problem,and high-dimensional problem with several local optima that can be solved using efficient approximation *** paper proposes two improved swarm-based algorithms for solving team formation *** first algorithm,entitled Hybrid Heap-Based Optimizer with Simulated Annealing Algorithm(HBOSA),uses a single crossover operator to improve the performance of a standard heap-based optimizer(HBO)*** also employs the simulated annealing(SA)approach to improve model convergence and avoid local minima *** second algorithm is the Chaotic Heap-based Optimizer Algorithm(CHBO).CHBO aids in the discovery of new solutions in the search space by directing particles to different regions of the search *** HBO’s optimization process,a logistic chaotic map is *** performance of the two proposed algorithms(HBOSA)and(CHBO)is evaluated using thirteen benchmark functions and tested in solving the TF problem with varying number of experts and ***,the proposed algorithms were compared to well-known optimization algorithms such as the Heap-Based Optimizer(HBO),Developed Simulated Annealing(DSA),Particle SwarmOptimization(PSO),GreyWolfOptimization(GWO),and Genetic Algorithm(GA).Finally,the proposed algorithms were applied to a real-world benchmark dataset known as the Internet Movie Database(IMDB).The simulation results revealed that the proposed algorithms outperformed the compared algorithms in terms of efficiency and performance,with fast convergence to the global minimum.

关键词： Team formation problem optimization problem genetic algorithm heap-based optimizer simulated annealing hybridization method chaotic local search

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The Role of Electrocardiogram DETERMINE Score in Prediction of Coronary Artery Disease Severity

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World Journal of Cardiovascular Diseases 2024年第9期14卷 567-580页

作者： Ismail N. El-Sokkary Essam ahmed Khalil Mohammed Wael Badawi Ibrahim K. Gamil Shousha Abdalla A. Elsebaey Mohamed Kamal Rehan Mahmoud Ibrahim elshamy Yasser ahmed Sadek Department of Cardiovascular & Thoracic Surgery Faculty of Medicine Al-Azhar University Cairo Egypt Department of Cardiology Al-Azhar University Cairo Egypt Department of Internal Medicine Beni-Sueif University Beni Suef Egypt Department of Radiology Al-Azhar University Cairo Egypt Department of Cardiology Helwan University Cairo Egypt

Background: A major cause of mortality and disability on a global scale is myocardial infarction (MI). These days, the most reliable way to detect and measure MI is via cardiovascular magnetic resonance imaging (CMR). Aims and Objectives: To evaluate the effectiveness of the Electrocardiogram DETERMINE Score in predicting the severity of coronary artery disease (CAD) in patients who have experienced an Acute Myocardial Infarction (AMI) & to assess improvements in left ventricular function at 6 months following coronary artery bypass grafting (CABG). Subjects and Methods: This Observational cohort study was done at the Cardiology and Radiology department and cardiac surgery department, Al-Azhar university hospitals and Helwan University hospital. The study involved 700 cases who patients diagnosed with Acute Myocardial Infarction and fulfilled specific criteria for selection. Result: There was highly statistically significant relation between Myocardial infarction size and ECG Marker Score as mean infarct size elevated When the number of ECG markers increased. There was a highly statistically significant relation between myocardial infarct segments, myocardial infarction size and improvement of cardiac function 6 months post-CABG. Conclusion: The study found that larger myocardial infarctions corresponded with higher DETERMINE Scores. It concluded that an ECG-based score better estimates infarct size than LVEF alone. Additionally, there was a significant statistical correlation between the size and segmentation of myocardial infarction and better cardiac function six months after CABG.

关键词： Electrocardiogram DETERMINE Score Coronary Artery Disease Outcome Acute Myocardial Infarction Coronary Artery Bypass Grafting

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