Parametric Design Optimization in Sustainable Urban Design: In Hot Climate حسب Musleh, Mousa A. M.

"…This research employs Genetic algorithms as the computational design methodology to achieve parametric design optimization to design for a more sustainable cities and urban. …"
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…Keywords: Enterprise networks; Simulated evolution; Fuzzy logic; NP-hard; Multiobjective optimization…"
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Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

"…Keywords: Enterprise networks; Simulated evolution; Fuzzy logic; NP-hard; Multiobjective optimization…"
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Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology حسب Senyuk, Mihail

"…Features of transmission line maintenance were used to increase accuracy of estimation. Algorithms were tested using the test power system IEEE39. …"
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GATS: A Novel Hybrid Algorithm for Multiobjective Cell Placement in VLSI Circuit Design حسب Sait, Sadiq M.

"…This paper addresses the optimization of cell placement step in VLSI circuit design [1]. …"
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Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment حسب Omer, Dalia Fatahelrahman

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Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem حسب Haraty, Ramzi A.

"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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Minimum UAV fog servers with maximum IoT devices association using genetic algorithms حسب Abbas, Nadine

"…We then propose a heuristic sub-optimal approach based on genetic algorithm (GA) to decide on the minimum number of UAVs to be deployed and the IoT-to-UAV association. …"
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Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

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Adaptive Time-Varying Brain Source Localization حسب Al-Momani, Sajedah A.

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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing حسب Jincheng Zhou (1887307)

"…The Particle swarm optimization method performs better in improving makespan, flow time, throughput time, response time, and degree of imbalance.…"

Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization حسب Alhadhrami, Esra Ebrahim

"…Proximal Policy Optimization (PPO), a state-of-the-art policy optimization algorithm, was employed to determine the optimal Q value that enhances tracking performance, as measured by Root Mean Square Error (RMSE). …"
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators حسب Abu Zitar, Raed

"…Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …"
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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm حسب De Rochechouart, Maxence

"…The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…"
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A Simulated Annealing Algorithm for System-on-Chip Test Scheduling with, Power and Precedence Constraints حسب Harmanani, Haidar M.

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Power-constrained system-on-a-chip test scheduling using a genetic algorithm حسب Harmanani, Haidar M.

"…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. The method minimizes the overall test application time of a system-on-a-chip through efficient and compact test schedules. …"
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A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading حسب Saoud A. Al-Janahi (18877213)

"…The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. …"

Economic load dispatch multiobjective optimization procedures usinglinear programming techniques حسب Farag, A.

"…This paper outlines the optimization problem of real and reactive power, and presents the new algorithm for studying the load shedding and generation reallocation problem in emergencies where a portion of the transmission system is disabled and an AC power solution cannot be found for the overloaded system. …"
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Fuzzy simulated evolution for power and performance optimization ofVLSI placement حسب Sait, Sadiq M.

"…This is a hard multiobjective combinatorial optimization problem with no known exact and efficient algorithm that can guarantee finding a solution of specific or desirable quality. …"
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

"…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …"
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