نتایج جستجو برای: swarm optimizing algorithm

تعداد نتایج: 807187  

Journal: :IJSIR 2014
Ying Lin Zhi-hui Zhan Jun Zhang

Power electronic circuit (PEC) design is a complicated optimization problem that calls for evolutionary computation (EC) algorithms. The existing EC algorithms for optimizing PEC have difficulty in practical applications because they demand users to carefully define very narrow search ranges for different circuit components. Aiming at this problem, this paper models PEC with uniform search rang...

2010
Armin Burchardt Tim Laue Thomas Röfer

Particle filter-based approaches have proven to be capable of efficiently solving the self-localization problem in RoboCup scenarios and are therefore applied by many participating teams. Nevertheless, they require a proper parametrization – for sensor models and dynamic models as well as for the configuration of the algorithm – to operate reliably. In this paper, we present an approach for opt...

2011
Clément Solau Bruno Marhic Laurent Delahoche Arnaud Clerentin Anne-Marie Jolly-Desodt David Menga

In this paper, a constrained optimization method for various functions such as non differentiable ones based on interval analysis is proposed. The process can be broken down into two distinct parts: the first one that approximates the space satisfying the constraints and the second one that is exclusively in charge of optimizing a given function. The first phase relies on successive bisections ...

Journal: :international journal of industrial engineering and productional research- 0
parviz fattahi hamedan bahman ismailnezhad hamedan

in this paper, a stochastic cell formation problem is studied using queuing theory framework and considering reliability. since cell formation problem is np-hard, two algorithms based on genetic and modified particle swarm optimization (mpso) algorithms are developed to solve the problem. for generating initial solutions in these algorithms, a new heuristic method is developed, which always cre...

Journal: :Frontiers of Information Technology & Electronic Engineering 2016

Journal: :JCP 2007
Gabriella Kókai Martin Böhner Tonia Christ Hans Holm Frühauf

The following paper describes and discusses the suitability of the particle swarm optimization (PSO), of the simulated annealing algorithm (SA) and of the genetic algorithm (GA) for the employment with blind adaptation of the directional characteristic of array antennas. By means of extensive simulations, it was confirmed that the suggested PSO and SA and the improved GA are able to follow dyna...

A. Malekizadeh D. Bakhtiarian H. Homaei, M. Shahbazi Tak-Abi

The need for simulation of human foot mechanism has made researchers and engineers move towards different patterns to describe this movement. In this regard, optimal solutions such as energy consumption, accuracy, etc. are of utmost importance. In this paper, efforts have been made to present a new solution by designing a fully two-dimensional six-bar mechanism with one degree of freedom so tha...

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