Optimization of uncertain construction time-cost trade off problem using simulated annealing algorithm

Author(s):  
Manal Osman Suliman ◽  
Vellanki S.S. Kumar ◽  
Wael Abdulal
2014 ◽  
Vol 550 ◽  
pp. 178-186
Author(s):  
M. Poongothai ◽  
A. Rajeswari ◽  
V. Sanmukapriya

The role of multi-core processors in recently developed real-time systems is gaining importance because of its energy and thermal conditions. The major development requirements and objectives to be met while designing multi-core processors are: low heat dissipation, low energy consumption and long battery life, which also helps to reduce the system costs. This paper is presented with an aim to achieve a better system performance in a multi-core processor platform by adjusting the trade-off between system performance and power dissipation. Dynamic Power Management (DPM) and Dynamic Voltage Scaling (DVS) are the two run-time techniques used to adjust the trade-off between the system performance and power dissipation. Simulated Annealing (SA) algorithm is implemented in order to find a good approximation to the global optimum. The idea behind Simulated Annealing algorithm is to iteratively improve the solution by investigating the neighbour solutions.


2013 ◽  
Vol 4 (2) ◽  
pp. 20-28
Author(s):  
Farhad Soleimanian Gharehchopogh ◽  
Hadi Najafi ◽  
Kourosh Farahkhah

The present paper is an attempt to get total minimum of trigonometric Functions by Simulated Annealing. To do so the researchers ran Simulated Annealing. Sample trigonometric functions and showed the results through Matlab software. According the Simulated Annealing Solves the problem of getting stuck in a local Maxterm and one can always get the best result through the Algorithm.


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