Adaptive phenotypic plasticity, the ability of a genotype to develop a phenotype appropriate to the local environment, allows organisms to cope with environmental variation and has implications for predicting how organisms will respond to rapid, human-induced environmental change. This review focuses on the importance of developmental selection, broadly defined as a developmental process that i...

In many applications of constrained continuous black box optimization, the evaluation of fitness and feasibility is expensive. Hence, the objective of reducing the constraint function calls remains a challenging research topic. In the past, various surrogate models have been proposed to solve this issue. In this paper, a local surrogate model of feasibility for a self-adaptive evolution strateg...

As a large number of converters composed power electronic devices are connected to the grid, system has gradually decreased stability. How increase dynamic response converter become one research hotspots. Virtual synchronous generator technology (VSG) can endow with moment inertia and damping characteristics, thereby enhancing response, but traditional VSG cannot achieve optimal control effect....

An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...

This paper presents a robust control scheme for distributed generations (DGs) in islanded mode operation of a microgrid (MG). In this strategy, assuming a dynamic slack bus with constant voltage magnitude and phase angle, nonlinear equations of the MG are solved in the slack-voltage-oriented synchronous reference frame, and the instantaneous active and reactive power reference for the slack bus...

Edge detection has been a hot issue in image processing field for many years. This paper focuses on the LOG operator and its improvement methods. Firstly, a new edge detection template is proposed, which increases the detect direction for the original Laplace template and re-allocation of the weight reasonable. Secondly, this paper proposes an adaptive selection strategy of threshold for edge e...