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326
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EC
2012
289views ECommerce» more  EC 2012»
13 years 10 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
GPEM
2002
163views more  GPEM 2002»
15 years 2 months ago
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Daniel Merkle, Martin Middendorf
AUTOMATICA
2007
82views more  AUTOMATICA 2007»
15 years 2 months ago
Simulation-based optimal sensor scheduling with application to observer trajectory planning
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
TON
2010
163views more  TON 2010»
15 years 26 days ago
Toward practical opportunistic routing with intra-session network coding for mesh networks
—We consider opportunistic routing in wireless mesh networks. We exploit the inherent diversity of the broadcast nature of wireless by making use of multi-path routing. We presen...
Bozidar Radunovic, Christos Gkantsidis, Peter B. K...
119
Voted
DAC
2009
ACM
15 years 9 months ago
Clock skew optimization via wiresizing for timing sign-off covering all process corners
Manufacturing process variability impacts the performance of synchronous logic circuits by means of its effect on both clock network and functional block delays. Typically, varia...
Sari Onaissi, Khaled R. Heloue, Farid N. Najm