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GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
16 years 24 days ago
Parallel genetic algorithm: assessment of performance in multidimensional scaling
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
Antanas Zilinskas, Julius Zilinskas
IJON
2007
99views more  IJON 2007»
15 years 6 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi
INFOCOM
2010
IEEE
15 years 5 months ago
Practical Scheduling Algorithms for Concurrent Transmissions in Rate-adaptive Wireless Networks
—Optimal scheduling for concurrent transmissions in rate-nonadaptive wireless networks is NP-hard. Optimal scheduling in rate-adaptive wireless networks is even more difficult, ...
Zhe Yang, Lin Cai, Wu-sheng Lu
154
Voted
DAC
2005
ACM
16 years 7 months ago
An efficient algorithm for statistical minimization of total power under timing yield constraints
Power minimization under variability is formulated as a rigorous statistical robust optimization program with a guarantee of power and timing yields. Both power and timing metrics...
Murari Mani, Anirudh Devgan, Michael Orshansky
189
Voted
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
16 years 27 days ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...