This paper describes a multi-objective Evolutionary Algorithm (EA) system for the synthesis of efficient non-linear VLSI circuit modules. The EA takes the specification for a no...
We report on a study that was undertaken to better identify users' goals behind web search queries by using click through data. Based on user logs which contain over 80 millio...
Previous studies have demonstrated that encoding a Bayesian network into a SAT-CNF formula and then performing weighted model counting using a backtracking search algorithm can be...
Derandomization by means of mirroring has been recently introduced to enhance the performances of (1, λ)-EvolutionStrategies (ESs) with the aim of designing fast robust local sea...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...