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Effects of exoskeleton weight and inertia on human walking
2017 IEEE International Conference on Robotics and Automation (ICRA), 2017Various leg exoskeletons have been designed for gait rehabilitation. The transparency of these exoskeletons is crucial to their effectiveness in gait training. The weight and inertia of an exoskeleton are two important factors affecting its transparency. In this study, using a light-weight leg exoskeleton C-ALEX, we conducted a series of experiments to
Xin Jin 0018 +3 more
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A non-deterministic adaptive inertia weight in PSO
Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011Particle Swarm Optimization (PSO) is a relatively recent swarm intelligence algorithm inspired from social learning of animals. Successful implementation of PSO depends on many parameters. Inertia weight is one of them. The selection of an appropriate strategy for varying inertia weight w is one of the most effective ways of improving the performance ...
Kusum Deep +2 more
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Weight perception and the haptic size–weight illusion are functions of the inertia tensor.
Journal of Experimental Psychology: Human Perception and Performance, 1996The complex effects of mass and volume on weight perception (e.g., the size-weight illusion) were hypothesized to follow simply from invariants of rotational dynamics. In Experiments 1-3, the rotational inertia of wielded, occluded objects was varied independently of mass, size, and torque.
E L, Amazeen, M T, Turvey
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The inertia weight self-adapting in PSO
2008 7th World Congress on Intelligent Control and Automation, 2008The particle swarm optimization algorithm (PSO) has successfully been applied to many engineering optimization problems. However, most of the existing improved PSO algorithms work well only for small-scale problems. In this new self-adaptive PSO, a special function, which is defined in terms of the particle fitness and swarm size, is introduced to ...
Chen Dong, Gaofeng Wang, Zhenyi Chen
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Electromagnetic Inertia and Atomic Weight
Proceedings of the Physical Society of London, 1914The Paper contains a mathematical deduction of a simple formula for the combined mass of two electrical charges when in proximity to each other. This mass is not the sum of their individual masses when far apart, if it be supposed that all mass of positive electricity, like that of electrons, is of electromagnetic origin.
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Average-Inertia Weighted Cat Swarm Optimization
2011For improving the convergence of Cat Swarm Optimization (CSO), we propose a new algorithm of CSO namely, Average-Inertia Weighted CSO (AICSO). For achieving this, we added a new parameter to the position update equation as an inertia weight and used a new form of the velocity update equation in the tracing mode of algorithm.
Maysam Orouskhani +2 more
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PSO with Gompertz increasing inertia weight
2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), 2013This paper implements Standard Particle Swarm Optimization (PSO) and a new algorithm that aims to be better than the classical PSO. An m-file code is used to simulate the Standard Particle Swarm Optimization and it is evaluated using the five well known benchmark functions namely Sphere, Ackley, Rastrigin, Rosenbrock, and Shcwefel's Problem 2.26. A new
Wakeel Ahmed +3 more
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Improved PSO Algorithm with Adaptive Inertia Weight and Mutation
2009 WRI World Congress on Computer Science and Information Engineering, 2009In order to avoid premature convergence to local minimum, an improved particle swarm optimization (PSO) algorithm is proposed in this paper. The proposed approach adaptively adjusts its inertia weight according to the change of population fitness, and executes its mutation operation in accordance with its population density. The algorithm's performance
Mo Lin, Zheng Hua
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Exponential Inertia Weight for Particle Swarm Optimization
2012The exponential inertia weight is proposed in this work aiming to improve the search quality of Particle Swarm Optimization (PSO) algorithm. This idea is based on the adaptive crossover rate used in Differential Evolution (DE) algorithm. The same formula is adopted and applied to inertia weight, w.
Tiew On Ting +3 more
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Particle Swarm Optimization with Dynamic Inertia Weight and Mutation
2009 Third International Conference on Genetic and Evolutionary Computing, 2009The Particle Swarm Optimization (PSO) plunges into the local minimum easily. In order to overcome this shortcoming, we propose an improved PSO algorithm with the features of linearly decreasing of inertia weight and the re-initialization of the particle when it gets stagnated. The improved PSO is a local PSO and its topology is wheels.
Xuedan Liu +3 more
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