Cloud Theory Based Simulated Annealing Algorithm for Multiple Observers Sitting on Terrain Problem

Lv, Pin; Lin, Yuan; Zhang, Jinfang

doi:10.1007/978-3-540-85984-0_90

Cited by 1 publication

(2 citation statements)

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“…The third proposed algorithm for signature hosting concentrates on using a semiheuristic search through a simulated annealing (SA) algorithm [ 31 ]. SA was introduced more than twenty years ago, and since then it has been considered a useful tool for a variety of optimization problems in various fields [ 32 – 34 ]. The main feature provided by SA over other algorithms is its ability to avoid local minima by controlling the acceptance of cost-increasing neighbours by means of a probability, which decreases as the search algorithm progresses.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, a particular solution involving an increase in the cost function is accepted with probability:

where δ is the cost difference and t is the control parameter corresponding to the temperature in the physical analogy [ 35 ], so it is usually called temperature. The algorithm requires a careful adjustment in order to avoid high execution times [ 32 ] while maintaining the quality of the solution.…”

Section: Methodsmentioning

confidence: 99%

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Design Time Optimization for Hardware Watermarking Protection of HDL Designs

Castillo

Morales

García

et al. 2015

The Scientific World Journal

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HDL-level design offers important advantages for the application of watermarking to IP cores, but its complexity also requires tools automating these watermarking algorithms. A new tool for signature distribution through combinational logic is proposed in this work. IPP@HDL, a previously proposed high-level watermarking technique, has been employed for evaluating the tool. IPP@HDL relies on spreading the bits of a digital signature at the HDL design level using combinational logic included within the original system. The development of this new tool for the signature distribution has not only extended and eased the applicability of this IPP technique, but it has also improved the signature hosting process itself. Three algorithms were studied in order to develop this automated tool. The selection of a cost function determines the best hosting solutions in terms of area and performance penalties on the IP core to protect. An 1D-DWT core and MD5 and SHA1 digital signatures were used in order to illustrate the benefits of the new tool and its optimization related to the extraction logic resources. Among the proposed algorithms, the alternative based on simulated annealing reduces the additional resources while maintaining an acceptable computation time and also saving designer effort and time.

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Section: Methodsmentioning

confidence: 99%

“…Thus, a particular solution involving an increase in the cost function is accepted with probability:

Section: Methodsmentioning

confidence: 99%