Results 201 to 210 of about 28,590 (257)
Some of the next articles are maybe not open access.

Weight, gravitation, inertia, and tides

European Journal of Physics, 2015
Summary: This paper deals with the factors that influence the weight of an object near the Earth's surface. They are: (1) the Earth's gravitational force, (2) the centrifugal force due to the Earth's diurnal rotation, and (3) tidal forces due to the gravitational field of the Moon and Sun, and other solar system bodies to a lesser extent. Each of these
Pujol, Olivier   +2 more
openaire   +1 more source

Bat algorithm with inertia weight

2015 Chinese Automation Congress (CAC), 2015
Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behavior of bats. However, the exploitation capability is not well for some multi-model problems. In this paper, a new parameter, inertia weight is introduced to improve the local search capability.
Zhihua Cui   +2 more
openaire   +1 more source

PSO with Gompertz increasing inertia weight

2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), 2013
This 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
openaire   +1 more source

The inertia weight self-adapting in PSO

2008 7th World Congress on Intelligent Control and Automation, 2008
The 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
openaire   +1 more source

Adaptive Inertia-Weighted Firefly Algorithm

2019
Real-life optimization problems required more and more technique, which completely utilizes the search spaces to obtain the best optimal solution, so researchers have an opportunity to propose a new technique or a modified version of the existing technique.
Shailja Sharma, Pooja Jain, Akash Saxena
openaire   +1 more source

Electromagnetic Inertia and Atomic Weight

Proceedings of the Physical Society of London, 1914
The 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.
openaire   +1 more source

Adaptive Inertia Weight Particle Swarm Optimization

2006
Adaptive inertia weight is proposed to rationally balance the global exploration and local exploitation abilities for particle swarm optimization. The resulting algorithm is called adaptive inertia weight particle swarm optimization algorithm (AIW-PSO) where a simple and effective measure, individual search ability (ISA), is defined to indicate whether
Zheng Qin, Fan Yu, Zhewen Shi, Yu Wang
openaire   +1 more source

A decreasing inertia weight particle swarm optimizer

Engineering Optimization, 2007
It has been over ten years since the pioneering work of particle swarm optimization (PSO) espoused by Kennedy and Eberhart. Since then, various modifications, well suited to particular application areas, have been reported widely in the literature.
Shu-Kai S. Fan, Yi-Yin Chiu
openaire   +1 more source

Average-Inertia Weighted Cat Swarm Optimization

2011
For 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
openaire   +1 more source

Home - About - Disclaimer - Privacy