As the distributed energy resources (DERs) increasingly penetrate the unbalanced distribution network, it becomes challenging to accommodate such penetration technically and economically. Therefore, this paper tackles...
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evolutionary algorithms are used to solve challenging optimization problems across a variety of domains. While simple and robust they often do not effectively exploit information generated during the search which in t...
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In this paper we study the Target Set Selection problem (TSS) - the well-known combinatorial problem associated with collective behaviour in networks. For a given network graph and the information diffusion model that...
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This paper presents a dynamic scheduling optimization method for the multi-satellite mission measurement and control planning problem, which is a complex and uncertain optimization problem that involves rationalizing ...
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Well-defined Hyper-Heuristics enhance the generalization of MOEAs and the blind usability on complex and even dynamic real-world application. Previous works already showed, that Hyper-Heuristics as selectors of crosso...
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Robust optimization considers uncertainty in the decision variables while noisy optimization concerns with uncertainty in the evaluation of objective and constraint functions. Although many evolutionary algorithms hav...
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evolutionary algorithm is a kind of according to the selection and evolution of biological evolution model and the evolution of a kind of random search technology. evolutionary algorithm is a blend of genetics, and ce...
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Real-world optimisation often involves uncertainty. Previous studies proved that evolutionary algorithms (EAs) can be robust to noise when using proper parameter settings, including the mutation rate. However, finding...
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This paper focuses on the comparison of the state-of-the-art algorithms and the influence of a stopping condition, the maximum number of function evaluations, on the optimization process. The main aim is to compare th...
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Tuning the navigation systems is a complex engineering task due to the sensitivity of their parameters, specific requirements to be met, as well as the maneuvering context that the system is designed to address. This ...
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