The restricted Maximum k-Satisfiability MAX- kSAT is an enhanced Boolean satisfiability counterpart that has attracted numerous amount of research. Genetic algorithm has been the prominent optimization heuristic algorithm ...

The discrete-time neural network proposed by Hopfield can be used for storing and recognizing binary patterns. Here, we investigate how the performance of this network on pattern recognition task is altered when neurons ...

Artificial Immune System (AIS) algorithm is a novel and vibrant computational paradigm, enthused by the biological immune system. Over the last few years, the artificial immune system has been sprouting to solve numerous ...

Economic dispatch (ED) problems have recently been solved by artificial neural network approaches. Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple ...

Economic dispatch (ED) problems have recently been solved by artificial neural network approaches. Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple ...

Inúmeras abordagens neurais têm sido propostas na literatura para resolver problemas de Fluxo de Potência Ótimo DC. Mais especificamente, a rede de Hopfield é o modelo de rede mais utilizado nesses tipos de problemas. A ...

Inúmeras abordagens neurais têm sido propostas na literatura para resolver problemas de Fluxo de Potência Ótimo DC. Mais especificamente, a rede de Hopfield é o modelo de rede mais utilizado nesses tipos de problemas. A ...

The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel barrier method using artificial neural networks to solve robust parameter ...