A Global Interconnect Optimization Algorithm under Accurate Delay Model Using Solution Space Smoothing

2005 ◽  
Author(s):  
Yici Cai ◽  
Yibo Wang ◽  
Xianlong Hong
Keyword(s):  
Optimization Algorithm ◽  
Solution Space ◽  
Delay Model ◽  
Interconnect Optimization ◽  
Global Interconnect ◽  
Accurate Delay Model

Power supply noise in accurate delay model for the sub-threshold domain

Integration ◽  
2015 ◽  
Vol 50 ◽  
pp. 127-136
Author(s):  
Pasquale Corsonello ◽  
Fabio Frustaci ◽  
Stefania Perri
Keyword(s):  
Power Supply ◽  
Delay Model ◽  
Power Supply Noise ◽  
Supply Noise ◽  
Accurate Delay Model

scholarly journals Sine cosine optimization based multilevel segmentation of digital images

2018 ◽  
Vol 7 (3) ◽  
pp. 1157 ◽  
Author(s):  
S Rakoth Kandan ◽  
P Srinivas Rao ◽  
B Durgalakshmi
Keyword(s):  
Real Time ◽  
Optimization Algorithm ◽  
Digital Images ◽  
Medical Images ◽  
Real Life ◽  
Solution Space ◽  
Threshold Values

This main objective of this paper is to present a sine-cosine optimization algorithm for multilevel segmentation of real-time and medical images. It chooses the threshold values for all R, G, B channels of real life and medical images through effectively exploring the solution space in obtaining the global best solution. The results are compared with existing methods and finally, the proposed method is able to offer better segmentation results than that of an existing method.  

scholarly journals Cockroach Swarm Optimization Algorithm for TSP

2011 ◽  
Vol 1 ◽  
pp. 226-229 ◽  
Author(s):  
Le Cheng ◽  
Zhi Bo Wang ◽  
Yan Hong Song ◽  
Ai Hua Guo
Keyword(s):  
Particle Swarm Optimization ◽  
Traveling Salesman Problem ◽  
Optimization Algorithm ◽  
Particle Swarm ◽  
Optimal Solution ◽  
Solution Space ◽  
Traveling Salesman ◽  
Experimental Results ◽  
Biological Behavior ◽  
Swarm Optimization

We propose a novel cockroach swarm optimization(CSO) algorithm for Traveling Salesman Problem(TSP) in this paper .In CSO, a series of biological behavior of cockroach are simulated such as grouping living and searching food ,moving-nest, individual equal and so on. For cockroaches crawl and search the optimal solution in the solution space, we assume that the solution which has been searched as the food can split up some new food around solution’s position. The experimental results demonstrate that the CSO has better performance than particle swarm optimization in TSP.

Analysis of Routing Protocols for Wireless Sensor Networks Based on Improved Ant Colony Optimization Algorithm

2014 ◽  
Vol 978 ◽  
pp. 248-251 ◽  
Author(s):  
Shu Min Duan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Routing Protocols ◽  
Ant Colony Algorithm ◽  
Solution Space ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Ant Colony Optimization Algorithm

Wireless sensor networks with node calculation ability is weak, node power (battery provides) Limited, routing algorithm of wireless sensor networks should be the energy saving and simple algorithm. Ant colony algorithm shows good search results in the discrete solution space. This paper improves the ant colony optimization algorithm. The paper presents analysis of routing protocols for wireless sensor networks based on improved ant colony optimization algorithm, and the simulation results verify the effectiveness of the improved algorithm.

Sign in / Sign up

Export Citation Format

Share Document