نتایج جستجو برای: cuckoo search
تعداد نتایج: 295514 فیلتر نتایج به سال:
Optimization techniques play a major role in real-world problems, As many cases which decisions are made based on random research. But choosing the optimization technology is big challenge for user. The cuckoo search algorithm one of modern that can replace traditional used, bird use Levi's flight strategy egg laying method to extract solution problem. presented work will provide review origina...
The present work describes a method for increasing software testing efficiency by identifying the optimal test sequences in the state machine diagram. The method employs a Meta-heuristic algorithm called Cuckoo Search to investigate best paths in the diagram. It tries to provide a technique for exhaustive coverage with minimal repetition which ensures all transitions coverage and all paths cove...
In this Paper, a novel approach based on Cuckoo search optimization, with dominant eigen value shift for designing robust decentralized load frequency control system for interconnected power system is presented. A proportional integral – derivative (PID) controller is considered to exemplify the optimum parameter search. To demonstrate the robustness of the obtained controller, a two-area non r...
This paper presents a method for improving steganography and enhancing the security using combinatorial Meta-heuristic algorithms. The goal is to achieve an improved PSNR value in order to preserve the image quality in the steganography process. Steganography algorithms, in order to insert message signal information inside the host data, create small changes based on the message signal in the ...
Article history: Received 14 October 2013 Received in revised form 24 November 2013 Accepted 26 November 2013 Available online 15 December 2013
In this paper an improved Cuckoo Search Algorithm is developed to allow for an efficient and robust calibration of the Heston option pricing model for American options. Calibration of stochastic volatility models like the Heston is significantly harder than classical option pricing models as more parameters have to be estimated. The difficult task of calibrating one of these models to American ...
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