Results 31 to 40 of about 251,193 (292)
Analytic expression for pull-or-jerk experiment [PDF]
, 2014 This work focuses on a theoretical analysis of a well-known inertia demonstration, which uses a weight suspended by a string with an extra string that hangs below the weight.
Shima, Hiroyuki
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Improvement strategies for heuristic algorithms based on machine learning and information concepts: a review of the seahorse optimization algorithm [PDF]
PeerJ Computer ScienceTo overcome the mechanical limitations of traditional inertia weight optimization methods, this study draws inspiration from machine learning models and proposes an inertia weight optimization strategy based on the K-nearest neighbors (KNN) principle ...
Shixing Zheng
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Inertia Weight strategies in Particle Swarm Optimization [PDF]
2011 Third World Congress on Nature and Biologically Inspired Computing, 2011 Particle Swarm Optimization is a popular heuristic search algorithm which is inspired by the social learning of birds or fishes. It is a swarm intelligence technique for optimization developed by Eberhart and Kennedy [1] in 1995. Inertia weight is an important parameter in PSO, which significantly affects the convergence and exploration-exploitation ...
J. C. Bansal +5 more
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Robot Excitation Trajectories for Dynamic Parameter Estimation using Optimized B-Splines [PDF]
, 2012 In this paper we adressed the problem of finding exciting trajectories for the identification of manipulator link inertia parameters. This can be formulated as a constraint nonlinear optimization problem.
Hirzinger, Gerd +2 more
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Improved Whale Optimization Algorithm Based on Fusion Gravity Balance
Axioms, 2023 In order to improve the shortcomings of the whale optimization algorithm (WOA) in dealing with optimization problems, and further improve the accuracy and stability of the WOA, we propose an enhanced regenerative whale optimization algorithm based on ...
Chengtian Ouyang +3 more
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A MODIFIED PARTICLE SWARM OPTIMIZATION WITH RANDOM ACTIVATION FOR INCREASING EXPLORATION
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2015 Particle Swarm Optimization (PSO) is a popular optimization technique which is inspired by the social behavior of birds flocking or fishes schooling for finding food.
Alrijadjis Alrijadjis +3 more
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Feedback learning particle swarm optimization [PDF]
, 2011 This is the author’s version of a work that was accepted for publication in Applied Soft Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may ...
Andrews +34 more
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Automatic navigation of a long range rocket vehicle [PDF]
, 1952 The flight of a rocket vehicle in the equatorial plane of a rotating earth is considered with possible disturbances in the atmosphere due to changes in density, in temperature, and in wind speed.
Adamson, T. C. +2 more
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Abstract and Applied Analysis, 2014 This paper proposed a novel radial basis function (RBF) neural network model optimized by exponential decreasing inertia weight particle swarm optimization (EDIW-PSO).
Jinna Lu, Hongping Hu, Yanping Bai
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Grasping Posture Control Design for a Home Service Robot Using an ABC-Based Adaptive PSO Algorithm
International Journal of Advanced Robotic Systems, 2016 In this paper, a grasping posture control for a robotic arm is developed based on novel adaptive particle swarm optimization (PSO) for the home service robot.
Tzuu-Hseng S. Li +3 more
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