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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...
FSTTCS
2004
Springer
16 years 22 hour ago
Improved Approximation Algorithms for Maximum Graph Partitioning Problems
Abstract Abstract. In this paper we improve the analysis of approximation algorithms based on semidefinite programming for the maximum graph partitioning problems MAX-k-CUT, MAX-k...
Gerold Jäger, Anand Srivastav
GECCO
2004
Springer
16 years 21 hour ago
The Lens Design Using the CMA-ES Algorithm
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
Yuichi Nagata
TSMC
2010
15 years 1 months ago
Bio-inspired Algorithms for Autonomous Deployment and Localization of Sensor Nodes
Abstract--Optimal deployment and accurate localization of sensor nodes have a strong influence on the performance of a wireless sensor network (WSN). This paper considers real-time...
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
JCSS
2008
96views more  JCSS 2008»
15 years 6 months ago
Precedence constrained scheduling in (2 - 7/(3p+1)) optimal
We present a polynomial time approximation algorithm for unit time precedence constrained scheduling. Our algorithm guarantees schedules which are at most 2 - 7 3p+1 factor as lon...
Devdatta Gangal, Abhiram G. Ranade