In order to improve the convergence speed and the drawback of easily converging to the local optimum of the standard particle swarm optimization (PSO), two improved PSO algorithms are presented based on the simple particle swarm optimization algorithm without speed attribute. One is introducing differential mutation technology of differential evolution algorithm into the simple PSO algorithm fo...

The main objective of this work is to automatically design artificial neural network, ANN, models with sigmoid basis units for multiclassification tasks in predictive microbiology. The classifiers obtained achieve a double objective: high classification level in the dataset and high classification level for each class. For learning, the structure and weights of the ANN we present an Hybrid Pare...

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current research addresses finding robust and stable schedule for the flexible job shop problem under machine breakdown. we have used simulation to investigate the effect of machine breakdown. two-stage of metaheuristic algorithm is developed to generate robust and stable schedule and is integrated with simulation algorithm. because makespan is primitive objective of every scheduling problem, i...

Regression test is an effective means to ensure the quality of software. But the test efficiency will become lower and lower as the test case library becomes increasingly large in the test. Therefore, in order to improve the efficiency and quality of regression test, it is necessary to implement the test case safety reduction. The optimization selection of the test case is an effective means of...

Microgrid control in isolated mode is a highly important subject area. In the present paper, a new method is used for controlling the isolated microgrids. This method was used based on the classification of the microgrids into two groups, namely fast-dynamic (battery and flywheel) and slow-dynamic (diesel generator, electrolyzer, fuel cell). For the microgrid components with fast dynamics, a se...

Geometric Differential Evolution (GDE) is a very recently introduced formal generalization of traditional Differential Evolution (DE) that can be used to derive specific GDE for both continuous and combinatorial spaces retaining the same geometric interpretation of the dynamics of the DE search across representations. In this paper, we derive formally a specific GDE for the space of genetic pro...

The displacement back analysis is an effective means on inversion of rock mechanical parameters. Differential evolution algorithm has many advantages and good prospects to solve problems of geotechnical parameters. The program is used to the simulation of the true tunnel with C++ language, while it is embedded into differential evolution algorithm to achieve the inversion parameter. Applying to...