Hakutulokset - optimization algorithm
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161
Causal Diagnosability Optimization Design for UAVs Based on Maximum Mean Covariance Difference and the Gray Wolf Optimization Algorithm
Julkaistu 2025-05-01“…Finally, a diagnosability optimization technique utilizing the GWO algorithm is proposed. …”Given the growing complexity and variability of application scenarios, coupled with increasing operational demands, unmanned aerial vehicles (UAVs) are prone to faults. To enhance diagnosability and reliability in this context, this study proposes a causal diagnosability optimization strategy based...
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162
Optimizing energy constrained target localization and tracking with radial bias and seeker optimization algorithms in wireless sensor networks
Julkaistu 2025-06-01“…This paper proposes a novel approach combining Radial Bias (RB) with the Seeker Optimization Algorithm (SOA) to address the challenges of energy-constrained target localization and tracking. …”The standard localization approach is characterized by a fixed position distribution of the anchor nodes, which cannot be dynamically modified based on the deployment environment. This paper proposes a novel approach combining Radial Bias (RB) with the Seeker Optimization Algorithm (SOA) to address...
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163
Optimization the stochastic optimal reactive power dispatch with renewable energy resources using a modified dandelion algorithm.
Julkaistu 2025-01-01“…In this regard, a modified Dandelion Optimizer (MDO) algorithm is introduced to optimize the SORPD solution with taking into consideration the stochastic fluctuations or the random variations of the load demand and the power produced by RERs. …”Improvement performance of transmission systems is crucial task that can be boosted via optimal reactive power dispatch (ORPD). However, the continuous variations of load demand and the power produced by the renewable energy sources (RERs) increases the complicities of solving the stochastic optimal...
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164
Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management
Julkaistu 2025-06-01“…Metaheuristic algorithms, specifically Simulated Annealing (SA) and Particle Swarm Optimization (PSO), are implemented to explore alternative near-optimal solutions and assess the performance in terms of cost accuracy and computational efficiency. …”The optimization of transportation problems plays a significant role in supply chain management (SCM), where minimizing costs and improving efficiency are mandatory. The transition from manual methods to advanced computational approaches, such as metaheuristic algorithms, enhances decision-making an...
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165
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166
Optimization of shielded metal arc welding process parameters on weld bead geometry using Jaya algorithm and Firefly algorithm
Julkaistu 2025-07-01Hae kokotekstiThe foremost aspect in welding is to improve the mechanical and microstructural properties in the weldment. The properties depend upon the weld bead characteristics. This is in turn depend upon the welding process. Shielded Metal Arc welding (SMAW) is the welding process which is simpler, usable and...
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167
Optimization of strutted beam parameters
Julkaistu 2021-01-01Aiheet: Hae kokotekstiObjective. The objective of the research is to design strutted beams that have optimal parameters for metal consumption.Methods. A mathematical simulation of the operation of a strutted beam with elastic support in the middle of the span is used. The calculation formulas are obtained based on the so...
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168
Exploring Virtual Machine Scheduling Algorithms: A Meta-Analysis
Julkaistu 2023-06-01Hae kokotekstiThis review paper provides a comprehensive assessment of scheduling methods for cloud computing, with an emphasis on optimizing resource allocation in cloud computing systems. The PRISMA methodology was utilized to identify 2,487 articles for this comprehensive review of scheduling methods in cloud...
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169
GENETIC SOLUTION METHODS FOR PROBLEM OF STORES SHIPMENT OPTIMAL PLANNING
Julkaistu 2011-06-01Aiheet: “…genetic algorithm…”A genetic algorithm for solving the optimization problem of stores shipment is developed. The algorithm permits to find a good approximate solution, and it has acceptable computational complexity.
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170
Flamingo Search Algorithm for aircraft landing scheduling
Julkaistu 2024-12-01Aiheet: “…Aircraft Landing Scheduling, Flamingo Search Algorithm, Genetic Algorithm, metaheuristic, Optimization…”Aircraft landing scheduling (ALS) is the process of organizing the arrival and departure of aircraft at an airport. This process is managed by air traffic controllers who use various tools and techniques to ensure that aircraft land and take off safely and efficiently. The goal of aircraft landing...
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171
An analysis of unconventional grid sizes for wind farm layout optimization using a genetic algorithm
Julkaistu 2025-01-01Aiheet: “…wind farm optimization…”Wind energy has emerged as an effective alternative to fossil fuels. At a commercial level, wind energy is harnessed through wind farms, which consist of several wind turbines arranged in a specific layout. Identifying the optimal layout of a wind farm is vital for maximum energy absorption from win...
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172
Gannet Optimization Algorithm with Attention Enhanced Deep Learning for Intrusions Detecting in IoT
Julkaistu 2025-01-01Aiheet: Hae kokotekstiAs a new paradigm, the Internet of Things (IoT) incorporates the Internet and physical objects belonging to many different areas including human health, home automation, environmental monitoring, and industrial processes. In our daily activities, it deepens the presence of Internet-connected devices...
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173
Healthcare Prediction Using Novel Machine Learning Methods and Metaheuristic Algorithm
Julkaistu 2025-06-01Aiheet: Hae kokotekstiThese days, machine learning (ML) is one of the most important technologies, especially in the field of healthcare. Alongside the rapid growth of high-quality medical data and information, its importance is growing. Even with these advancements, early and accurate disease identification is still a d...
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174
OPTIMAL LOSSES IN POWER DISTRIBUTION NETWORKS
Julkaistu 2014-10-01Aiheet: Hae kokotekstiThe distributed power network 0,38–10 kV is investigated and the conditions for providing optimal load of network and technically reasonable (minimal) values of electricity consumption are determined. It is shown that the optimum (minimum) value of all technical losses of electricity in power networ...
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175
Review of Software Tools for Working with Evolutionary and Swarm Optimization Methods
Julkaistu 2025-04-01Aiheet: “…evolutionary algorithms…”The article is devoted to a review of software tools that allow applying, developing and investigating evolutionary and swarm optimization methods for solving complex discrete and continuous optimization problems. The article considers various types and kinds of optimization problems arising in appl...
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176
A Hybrid Whale Optimization Approach for Fast-Convergence Global Optimization
Julkaistu 2025-06-01Aiheet: Hae kokotekstiIn this paper, we introduce the Levy Flight-enhanced Whale Optimization Algorithm with Tabu Search elements (LWOATS), an innovative hybrid optimization approach that enhances the standard Whale Optimization Algorithm (WOA) with advanced local search techniques and elite solution management to improv...
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177
Research on Collaborative Optimization Strategy of Railway Signal Nonlinear Control System Based on BBO Algorithm and Multi-objective Optimization
Julkaistu 2025-12-01Aiheet: “…Biogeography-Based Optimization (BBO) Algorithm…”This study focuses on exploring collaborative optimization strategies for a nonlinear control system of railway signals based on the BBO algorithm. Currently, the railway signal control system faces performance bottlenecks such as response lag and local optima due to parameter coupling when dealing...
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178
Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system
Julkaistu 2025-06-01Aiheet: “…Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system…”The goal of this research is to develop a decision support system for stock portfolio optimization using hill climbing and SHLO algorithms based on fundamental analysis of stocks. Portfolio optimization involves constructing a portfolio that maximizes returns while minimizing risk. The novelty in me...
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179
Bayesian optimization with Optuna for enhanced soil nutrient prediction: a comparative study with genetic algorithm and particle swarm optimization
Julkaistu 2025-12-01“…In addition, it examines 2,000 random surface soil samples, ranging from 0 to 20 cm, that were optimized using genetic algorithms (GA), particle swarm optimization (PSO), and Optuna. …”Optimizing soil nutrient prediction models is important for achieving maximum agricultural output and sustainability while also ensuring effective resource management and environmental protection, as demonstrated by a case study in Johannesburg, South Africa. We implemented machine learning (ML), op...
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180
Improved Directional Mutation Moth–Flame Optimization Algorithm via Gene Modification for Automatic Reverse Parking Trajectory Optimization
Julkaistu 2025-05-01“…To address this, we propose an improved directional mutation moth–flame optimization algorithm with gene modification (IDMMFO-GM). …”Automatic reverse parking (ARP) faces challenges in finding ideal reference trajectories that avoid collisions, maintain smoothness, and minimize path length. To address this, we propose an improved directional mutation moth–flame optimization algorithm with gene modification (IDMMFO-GM). We develop...
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