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CEC
2008
IEEE
15 years 6 months ago
Improved Particle Swarm Optimization with low-discrepancy sequences
— Quasirandom or low discrepancy sequences, such as the Van der Corput, Sobol, Faure, Halton (named after their inventors) etc. are less random than a pseudorandom number sequenc...
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith ...
AMC
2004
115views more  AMC 2004»
14 years 11 months ago
Performance comparison of memetic algorithms
Local search techniques have been applied in optimization methods. The effect of local search to the memetic algorithms can make multimodal and non-linear problems easier to solve...
Jason G. Digalakis, Konstantinos G. Margaritis
WIOPT
2010
IEEE
14 years 9 months ago
Optimizing power allocation in interference channels using D.C. programming
Abstract--Power allocation is a promising approach for optimizing the performance of mobile radio systems in interference channels. In the present paper, the non-convex objective f...
Hussein Al-Shatri, Tobias Weber
ICML
2002
IEEE
16 years 20 days ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
CODES
2004
IEEE
15 years 3 months ago
Power-aware communication optimization for networks-on-chips with voltage scalable links
Networks-on-Chip (NoC) is emerging as a practical development platform for future systems-on-chip products. We propose an energyefficient static algorithm which optimizes the ener...
Dongkun Shin, Jihong Kim