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The major issue of researchers in ANN field is the optimization of the training process including time cost and NN structure. In response to the long training time, Multi-Agent architecture of feed forward Flexible Neural Tree model (MAFNT) is introduced for parallelizing the NN training. Moreover, looking for the best topology of NN, for a given problem,(More)
This paper proposes two hybrid optimization methods based on Harmony Search algorithm (HS) and two different nature-inspired metaheuristic algorithms. In the first contribution, the combination was between the Improved Harmony Search (IHS) and the Particle Swarm Optimization (PSO). The second contribution merged the IHS with the Differential Evolution (DE)(More)
Multi-Agent System (MAS) is a very active field that ensures global coherence between agents' interactions in a distributed way and implicit global control. Under the awareness of its power, the application of MAS was no more limited to very specific problems, but to almost application area: optimization, neural network, robotics, fuzzy system, etc. In the(More)
The present paper aims at characterizing the hydration behavior in the case of dioctahedral smectite with different location charge (i.e. montmorillonite SWy-2 and beidellite SbId-1) exchanged by heavy metals cations characterized by different valence (Ba<sup>2+</sup> and Cs<sup>+</sup>) generally coming from industrial waste and wastewater solution. The(More)
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