Hakutulokset - optimization algorithm

Tarkenna hakua
  1. 161

    Causal Diagnosability Optimization Design for UAVs Based on Maximum Mean Covariance Difference and the Gray Wolf Optimization Algorithm Tekijä Xuping Gu, Xianjun Shi

    Julkaistu 2025-05-01

    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...

    Täydet tiedot

    “…Finally, a diagnosability optimization technique utilizing the GWO algorithm is proposed. …”
    Hae kokoteksti
    Artikkeli
  2. 162

    Optimizing energy constrained target localization and tracking with radial bias and seeker optimization algorithms in wireless sensor networks Tekijä S. Yazhinian, S. Famila, P. Jose, Mahendar A, Sofia R

    Julkaistu 2025-06-01

    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...

    Täydet tiedot

    “…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. …”
    Hae kokoteksti
    Artikkeli
  3. 163

    Optimization the stochastic optimal reactive power dispatch with renewable energy resources using a modified dandelion algorithm. Tekijä Naima Agouzoul, Aziz Oukennou, Faissal Elmariami, Mohamed Ebeed, Jamal Boukherouaa, Rabiaa Gadal, Mokhtar Aly, Emad A Mohamed

    Julkaistu 2025-01-01

    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...

    Täydet tiedot

    “…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. …”
    Hae kokoteksti
    Artikkeli
  4. 164

    Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management Tekijä Felicia Lim Xin Ying, Suliadi Firdaus Sufahani

    Julkaistu 2025-06-01

    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...

    Täydet tiedot

    “…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. …”
    Hae kokoteksti
    Artikkeli
  5. 165
  6. 166

    Optimization of shielded metal arc welding process parameters on weld bead geometry using Jaya algorithm and Firefly algorithm Tekijä Pushp Kumar Baghel

    Julkaistu 2025-07-01

    The 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...

    Täydet tiedot

    Hae kokoteksti
    Artikkeli
  7. 167

    Optimization of strutted beam parameters Tekijä A. K. Yusupov, H. M. Musеlеmov, T. O. Ustarhanov

    Julkaistu 2021-01-01

    Objective. 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...

    Täydet tiedot

    Aiheet: Hae kokoteksti
    Artikkeli
  8. 168

    Exploring Virtual Machine Scheduling Algorithms: A Meta-Analysis Tekijä Salman Mahmood, Nor Adnan Yahaya

    Julkaistu 2023-06-01

    This 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...

    Täydet tiedot

    Hae kokoteksti
    Artikkeli
  9. 169

    GENETIC SOLUTION METHODS FOR PROBLEM OF STORES SHIPMENT OPTIMAL PLANNING Tekijä Alina V. Basova, Pavel G. Belyavskiy

    Julkaistu 2011-06-01

    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.

    Aiheet: “…genetic algorithm…”
    Hae kokoteksti
    Artikkeli
  10. 170

    Flamingo Search Algorithm for aircraft landing scheduling Tekijä Zied O. Ahmed, Noor T. Mahmood, Sura Mazin Ali

    Julkaistu 2024-12-01

    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...

    Täydet tiedot

    Aiheet: “…Aircraft Landing Scheduling, Flamingo Search Algorithm, Genetic Algorithm, metaheuristic, Optimization…”
    Hae kokoteksti
    Artikkeli
  11. 171

    An analysis of unconventional grid sizes for wind farm layout optimization using a genetic algorithm Tekijä Mohandes Mohamed, Khan Salman A., Rehman Shafiqur, Al-Shaikhi Ali, Iqbal Kashif

    Julkaistu 2025-01-01

    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...

    Täydet tiedot

    Aiheet: “…wind farm optimization…”
    Hae kokoteksti
    Artikkeli
  12. 172

    Gannet Optimization Algorithm with Attention Enhanced Deep Learning for Intrusions Detecting in IoT Tekijä V. Rajakani, K. Vinoth Kumar, A. Sridevi, N. Prathap

    Julkaistu 2025-01-01

    As 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...

    Täydet tiedot

    Aiheet: Hae kokoteksti
    Artikkeli
  13. 173

    Healthcare Prediction Using Novel Machine Learning Methods and Metaheuristic Algorithm Tekijä Yazdan Ashgevari, Behrouz Alefy, Faranak Kazemi

    Julkaistu 2025-06-01

    These 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...

    Täydet tiedot

    Aiheet: Hae kokoteksti
    Artikkeli
  14. 174

    OPTIMAL LOSSES IN POWER DISTRIBUTION NETWORKS Tekijä M. I. Fursanov

    Julkaistu 2014-10-01

    The 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...

    Täydet tiedot

    Aiheet: Hae kokoteksti
    Artikkeli
  15. 175

    Review of Software Tools for Working with Evolutionary and Swarm Optimization Methods Tekijä Aleksei Nikolashkin, Nikolay Ershov

    Julkaistu 2025-04-01

    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...

    Täydet tiedot

    Aiheet: “…evolutionary algorithms…”
    Hae kokoteksti
    Artikkeli
  16. 176

    A Hybrid Whale Optimization Approach for Fast-Convergence Global Optimization Tekijä Athanasios Koulianos, Antonios Litke, Nikolaos K. Papadakis

    Julkaistu 2025-06-01

    In 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...

    Täydet tiedot

    Aiheet: Hae kokoteksti
    Artikkeli
  17. 177

    Research on Collaborative Optimization Strategy of Railway Signal Nonlinear Control System Based on BBO Algorithm and Multi-objective Optimization Tekijä Xue Li, Yixuan Yang, Zheng Li, Hui He

    Julkaistu 2025-12-01

    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...

    Täydet tiedot

    Aiheet: “…Biogeography-Based Optimization (BBO) Algorithm…”
    Hae kokoteksti
    Artikkeli
  18. 178

    Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system Tekijä Suyash S. Satpute, Amol C. Adamuthe, Pooja Bagane

    Julkaistu 2025-06-01

    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...

    Täydet tiedot

    Aiheet: “…Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system…”
    Hae kokoteksti
    Artikkeli
  19. 179

    Bayesian optimization with Optuna for enhanced soil nutrient prediction: a comparative study with genetic algorithm and particle swarm optimization Tekijä Bamidele A. Dada, Nnamdi I. Nwulu, Seun O. Olukanmi

    Julkaistu 2025-12-01

    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...

    Täydet tiedot

    “…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. …”
    Hae kokoteksti
    Artikkeli
  20. 180

    Improved Directional Mutation Moth–Flame Optimization Algorithm via Gene Modification for Automatic Reverse Parking Trajectory Optimization Tekijä Yan Chen, Yi Chen, Yang Guo, Longda Wang, Gang Liu

    Julkaistu 2025-05-01

    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...

    Täydet tiedot

    “…To address this, we propose an improved directional mutation moth–flame optimization algorithm with gene modification (IDMMFO-GM). …”
    Hae kokoteksti
    Artikkeli