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  1. Chaotic gradient based optimizer for solving multidimensional unconstrained and constrained optimization problems

    Gradient-based optimizer (GRAD) belongs to the recently developed population-based metaheuristic algorithms inspired by the development of...

    Oguz Emrah Turgut, Mert Sinan Turgut in Evolutionary Intelligence
    Article 30 August 2023
  2. Optimizing reactive power dispatch in electrical networks using a hybrid artificial rabbits and gradient-based optimization

    The optimal reactive power dispatch (ORPD) problem is a critical factor in maintaining the safe and efficient operation of electric networks. Due to...

    Ahmed M. Abd-El Wahab, Salah Kamel, ... Francisco J. Ruiz-Rodríguez in Electrical Engineering
    Article 06 January 2024
  3. Topology optimization of gradient lattice structure under harmonic load based on multiscale finite element method

    This work develops a topological optimization framework for parametric lattice structure design under harmonic load based on the scale-dependent...

    **tao Wang, Jihong Zhu, ... Wei-Hong Zhang in Structural and Multidisciplinary Optimization
    Article 30 August 2023
  4. Semi-analytical gradient-based optimization of exact CAD models using intermediate field representations

    This paper proposes an approach to bridge the gap between industrial applications of Computer Aided Design (CAD) and Topology Optimization (TO) by...

    Martin-Pierre Schmidt, Peter Clausen, ... Pascal Hebrard in Structural and Multidisciplinary Optimization
    Article 05 June 2023
  5. Lightworks, a scientific research framework for the design of stiffened composite-panel structures using gradient-based optimization

    Efficient structural optimization remains integral in advancing lightweight structures, particularly concerning the mitigation of environmental...

    Sascha Dähne, Edgar Werthen, ... Christian Hühne in Structural and Multidisciplinary Optimization
    Article Open access 11 May 2024
  6. Real power loss dwindling and voltage reliability enrichment by gradient based optimization algorithm

    This paper proposes Gradient based Optimization (GO) Algorithm for genuine loss lessening. Important goals of the paper are Power fidelity extension,...

    Article 17 August 2022
  7. Gradient Descent-Based Optimization Algorithms for Batch-Normalized Convolutional Neural Networks

    In this paper, the author carries out a comparative evaluation of nine of the most generally utilised first-order stochastic gradient-based...
    Charles Usigbe, **ao Perry in Intelligent Computing
    Conference paper 2023
  8. Superquantile-Based Learning: A Direct Approach Using Gradient-Based Optimization

    We consider a formulation of supervised learning that endows models with robustness to distributional shifts from training to testing. The...

    Yassine Laguel, Jérôme Malick, Zaid Harchaoui in Journal of Signal Processing Systems
    Article 11 January 2022
  9. Multi-objective gradient-based intelligent optimization of ultra-high-strength galvanized TRIP steels

    In this paper, a novel gradient-based algorithm named Kernel-based hybrid multi-objective optimization (KHMO) is implemented and coupled with a...

    Carlos O. Flor-Sánchez, Edgar O. Reséndiz-Flores, ... Armando Salinas-Rodríguez in The International Journal of Advanced Manufacturing Technology
    Article 29 July 2023
  10. A Gradient-based Sequential Multifidelity Approach to Multidisciplinary Design Optimization

    Multifidelity design optimization is a strategy that can reduce the high computational cost in cases where the high-fidelity model is too expensive...

    Neil Wu, Charles A. Mader, Joaquim R. R. A. Martins in Structural and Multidisciplinary Optimization
    Article 01 April 2022
  11. A Comparative Analysis of Gradient-Based Optimization Methods for Machine Learning Problems

    In this study, we compare and contrast the seven most widely used gradient-based optimization algorithms of the first order for machine learning...
    Conference paper 2023
  12. Gradient eigendecomposition invariance biogeography-based optimization for mobile robot path planning

    The path planning for mobile robots has attracted extensive attention, and evolutionary algorithms have been applied to this problem increasingly. In...

    **aodong Na, Jiaqian Wang, ... Decai Li in Soft Computing
    Article 23 May 2022
  13. Gradient descent based restoration method of track irregularity in asymmetric chord reference method

    This paper proposes a gradient descent based restoration method of track irregularity. Based on the theory of asymmetric chord-reference method...

    Chen Zeng, Wei Guo, ... Sui Tan in Journal of Central South University
    Article 01 January 2024
  14. Gradient Based Grasp Pose Optimization on a NeRF that Approximates Grasp Success

    Current robotic gras** methods often rely on estimating the pose of the target object, explicitly predicting grasp poses, or implicitly estimating...
    Gergely Sóti, Björn Hein, Christian Wurll in Intelligent Autonomous Systems 18
    Conference paper 2024
  15. Gradient-Based Optimizer for Structural Optimization Problems

    Meta-heuristic algorithms are stochastic search methods that have been used for quite a long time to solve complex, non-linear optimization problems...
    Chapter 2022
  16. Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient boosting technique

    Concrete is the most commonly used construction material. However, its production leads to high carbon dioxide (CO 2 ) emissions and energy...

    Enming Li, Ning Zhang, ... **aofeng Gao in Frontiers of Structural and Civil Engineering
    Article 01 September 2023
  17. A new chaos cat swarm optimization algorithm based on saliency gradient for power equipment infrared and visible images registration

    Visible and infrared images are important ways for the power inspection robot to detect the status of power equipment. Image registration can make...

    Jihong Wang, Haiyan Yu in Evolutionary Intelligence
    Article 09 September 2022
  18. A review of flexible multibody dynamics for gradient-based design optimization

    Design optimization of flexible multibody dynamics is critical to reducing weight and therefore increasing efficiency and lowering costs of...

    Veit Gufler, Erich Wehrle, Andreas Zwölfer in Multibody System Dynamics
    Article Open access 22 October 2021
  19. Cluster based hybrid optimization and kronecker gradient factored approximate optimum path curvature network for energy efficiency routing in WSN

    Sensors are placed in a specified area in Wireless Sensor Networks (WSNs) which sense the physical parameter of an environment. Upon sensing,...

    S. Syed Jamaesha, R. Sarath Kumar, M. S. Gowtham in Peer-to-Peer Networking and Applications
    Article 08 March 2024
  20. RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model

    Utilizing Artificial Intelligence (AI) techniques to forecast, recognize, and classify financial crisis roots are important research challenges that...

    Mohamed Torky, Ibrahim Gad, Aboul Ella Hassanien in International Journal of Computational Intelligence Systems
    Article Open access 05 April 2023
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