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» Solving Demodulation as an Optimization Problem
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GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 10 months ago
Experimental analysis of binary differential evolution in dynamic environments
Many real-world optimization problems are dynamic in nature. The interest in the Evolutionary Algorithms (EAs) community in applying EA variants to dynamic optimization problems h...
Alp Emre Kanlikilicer, Ali Keles, Sima Uyar
MOBIHOC
2001
ACM
16 years 4 months ago
Localized algorithms in wireless ad-hoc networks: location discovery and sensor exposure
The development of practical, localized algorithms is probably the most needed and most challenging task in wireless ad-hoc sensor networks (WASNs). Localized algorithms are a spe...
Seapahn Meguerdichian, Sasha Slijepcevic, Vahag Ka...
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 11 months ago
Swarming along the evolutionary branches sheds light on genome rearrangement scenarios
A genome rearrangement scenario describes a series of chromosome fusion, fission, and translocation operations that suffice to rewrite one genome into another. Exact algorithmic ...
Nikolay Vyahhi, Adrien Goëffon, Macha Nikolsk...
IJCNN
2000
IEEE
15 years 9 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
INFORMATICALT
2002
91views more  INFORMATICALT 2002»
15 years 4 months ago
Bayesian Heuristic Approach to Scheduling
Abstract. Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of vari...
Jonas Mockus