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CEC
2010
IEEE
15 years 8 months ago
Adaptive learning particle swarm optimizer-II for global optimization
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
Changhe Li, Shengxiang Yang
VTC
2006
IEEE
16 years 24 days ago
Rate Adaptation in Time Varying Channels using Acknowledgement Feedback
— Throughput maximization in a packet switched wireless communication system is considered in this paper. The channel variation is accounted for by modeling the channel as a fin...
Chin Keong Ho, Job Oostveen
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 10 months ago
Filter approximation using explicit time and frequency domain specifications
We demonstrate that enhanced particle swarm optimization (PSO) can be successfully used to evolve high performance filter approximations. These evolved approximations use sets of ...
Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly
ICS
1995
Tsinghua U.
15 years 10 months ago
Run-Time Methods for Parallelizing Partially Parallel Loops
In this paper we give a new run–time technique for finding an optimal parallel execution schedule for a partially parallel loop, i.e., a loop whose parallelization requires syn...
Lawrence Rauchwerger, Nancy M. Amato, David A. Pad...
DMSN
2005
ACM
15 years 8 months ago
Timely data delivery in sensor networks using whirlpool
In this paper, we introduce a rotating interrogation technique for sensor networks called Whirlpool. Whirlpool provides opportunities to optimize data delivery in time-critical mo...
Divyasheel Sharma, Vladimir Zadorozhny, Panos K. C...