An efficient evolutionary optimization algorithm for multiobjective distribution feeder reconfiguration

2011 ◽  
Vol 9 (1) ◽  
pp. 112-117 ◽  
Author(s):  
Taher Niknam ◽  
Mokhtar Sha Sadeghi
Keyword(s):  
Optimization Algorithm ◽  
Evolutionary Optimization ◽  
Distribution Feeder Reconfiguration ◽  
Distribution Feeder

A NEW HYBRID EVOLUTIONARY OPTIMIZATION ALGORITHM FOR DISTRIBUTION FEEDER RECONFIGURATION

2011 ◽  
Vol 25 (10) ◽  
pp. 951-971 ◽  
Author(s):  
Taher Niknam ◽  
Mohsen Zare ◽  
Jamshid Aghaei ◽  
Ehsan Azad Farsani
Keyword(s):  
Optimization Algorithm ◽  
Evolutionary Optimization ◽  
Distribution Feeder Reconfiguration ◽  
Distribution Feeder

A New Approach to Compensate Oscillations of Path-Linked Presses Caused by Inertial Forces

2016 ◽  
Vol 1140 ◽  
pp. 361-368
Author(s):  
Stefan Hilscher ◽  
Richard Krimm ◽  
Bernd Arno Behrens
Keyword(s):  
Conceptual Design ◽  
Optimization Algorithm ◽  
Evolutionary Optimization ◽  
Inertial Forces ◽  
New Approach ◽  
Virtual Testing ◽  
Linear Motors ◽  
Control Signals ◽  
The Press ◽  
Mass Balancing

Presses with mechanical linkages based on levers between motor and ram (path-linked presses) tend to oscillate due to inertial forces as a consequence of the drive parts motion.In this publication a new approach for a mass-balancing system is presented. This system allows to generate the optimal compensation forces needed to counteract the inertial forces by means of four linear motors. The control signals for the linear motors are specified by an evolutionary optimization algorithm, which operates on the base of measured accelerations of the press frame. The control signals of the linear motors are created in a way that the machines oscillations are reduced to a minimum. This way the presented mass-balancing system adapts itself automatically to varying conditions during the operation of the machine, such as a tool change or a varying stroke rate.In particular, the present publication provides the results of the conceptual design and the virtual testing of this approach, which has been mainly carried out with the help of multiple-body simulations.

S.T. (Shafiabady-Teshnehlab) Evolutionary Optimization Algorithm

2011 ◽  
Vol 2 (3) ◽  
pp. 73-82
Author(s):  
Niusha Shafiabady ◽  
Mohammad Teshnehlab ◽  
Mohammad Ali Nekoui
Keyword(s):  
Optimization Algorithm ◽  
Evolutionary Optimization
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