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There are many global optimization problems arisen in various fields of applications. It is very important to design effective algorithms for these problems. However, one of the key drawbacks of the existing global optimization methods is that they are not easy to escape from the local optimal solutions and can not find the global optimal solution quickly. In order to escape from the local optimal...
Many effective algorithms have been proposed for the global optimization problems arisen in various practical fields. However, some of these problems exist many local optima, which may lead to premature for solution algorithms. In order to avoid entrapping in the local optima, a smoothing function and square search method were used in the designed evolutionary algorithm. Using smoothing function can...
For solving tasks scheduling problem under heterogeneous grid environment, a new constrained multiobjective grid tasks scheduling model is proposed. Firstly, a security benefit function is constructed under considering the inherent security of grid nodes; secondly, a node's reputation dynamic evaluation model is constructed based on the behavior of grid nodes. In order to solve the model, the multi-objective...
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