Adaptive simulated annealing algorithm for the fiber Bragg grating distributed strain sensing

2003 ◽  
Vol 226 (1-6) ◽  
pp. 167-173 ◽  
Author(s):  
C.Z. Shi ◽  
N. Zeng ◽  
M. Zhang ◽  
Y.B. Liao ◽  
S.R. Lai
Keyword(s):  
Simulated Annealing ◽  
Fiber Bragg Grating ◽  
Simulated Annealing Algorithm ◽  
Bragg Grating ◽  
Strain Sensing ◽  
Adaptive Simulated Annealing ◽  
Annealing Algorithm ◽  
Adaptive Simulated Annealing Algorithm ◽  
Distributed Strain

Optimization Techniques for the Economic Dispatch Problem in Various Generation Plant

2013 ◽  
Vol 768 ◽  
pp. 323-328
Author(s):  
K. Thenmalar ◽  
A. Allirani
Keyword(s):  
Simulated Annealing ◽  
Firefly Algorithm ◽  
Artificial Bee Colony ◽  
Simulated Annealing Algorithm ◽  
Economic Dispatch ◽  
Bee Colony ◽  
Adaptive Simulated Annealing ◽  
Annealing Algorithm ◽  
Adaptive Simulated Annealing Algorithm ◽  
Dynamic Economic Dispatch

The dynamic economic dispatch (DED) occupies important place in a power systems operation and control. It aims to determine the optimal power outputs of on-line generating units in order to meet the load demand and reducing the fuel cost. The nonlinear and non convex characteristics are more common in the DED problem. Therefore, obtaining a optimal solution presents a challenge. In the proposed system, firefly algorithm, Adaptive simulated annealing algorithm, artificial bee colony (ABC) algorithm a recently introduced population-based technique is utilized to solve the DED problem. A general formulation of this algorithm is presented together with an analytical mathematical modeling to solve this problem by a single equivalent objective function. The results are compared with those obtained by alternative techniques proposed by the literature in order to show that it is capable of yielding good optimal solutions with proper selection of control parameters. Keywords: ABC-Artificial Bee Colony Algorithm, DED-Dynamic Economic Dispatch, FA-firefly algorithm, ASA-Adaptive Simulated annealing algorithm

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