In multimodal multiobjective optimization problems(MMOPs),there are several Pareto optimal solutions corre-sponding to the identical objective *** paper proposes a new differential evolution algorithm to solve MMOPs w...
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In multimodal multiobjective optimization problems(MMOPs),there are several Pareto optimal solutions corre-sponding to the identical objective *** paper proposes a new differential evolution algorithm to solve MMOPs with higher-dimensional decision *** to the increase in the dimensions of decision variables in real-world MMOPs,it is diffi-cult for current multimodal multiobjective optimization evolu-tionary algorithms(MMOEAs)to find multiple Pareto optimal *** proposed algorithm adopts a dual-population framework and an improved environmental selection *** utilizes a convergence archive to help the first population improve the quality of *** improved environmental selection method enables the other population to search the remaining decision space and reserve more Pareto optimal solutions through the information of the first *** combination of these two strategies helps to effectively balance and enhance conver-gence and diversity *** addition,to study the per-formance of the proposed algorithm,a novel set of multimodal multiobjective optimization test functions with extensible decision variables is *** proposed MMOEA is certified to be effective through comparison with six state-of-the-art MMOEAs on the test functions.
This paper considers the virtual bidding which arbitrages between the day-ahead(DA) and real-time(RT) electricity markets, and studies the influence of virtual bidders' risk preference on the DA market equilibrium...
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In recent years, electric vehicles have developed rapidly in China, and people have put forward increasingly high requirements for the automation and intelligence of charging facilities for electric vehicles. Based on...
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Anoectochilus roxburghii from different origins has different nutritional content and different price. Achieving origin identification is of great significance to the development and standardization of the Anoectochil...
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In this article, an integrated detection method of transformer based on high-voltage oscillating wave is proposed. The system is consist of DC high voltage generator, high precision micro-ammeter, current limiting res...
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Recently, there has been a growing fascination with neural speech synthesis, driven by the cutting-edge advancements made by deep neural networks in text-to-speech (TTS) tasks. However, meeting the fresh challenge of ...
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High-speed high-sampling data acquisition system occupies an important position in the fully intelligent automatic test system. This paper mainly introduces the use of AD9650 design 25MHz sampling rate, 16-bit data sa...
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Stable operation of bearing is required, while on the other side, it can lead to insufficient fault data collection and imbalanced data, which further deteriorates the performance of deep learning(DL) methods in the f...
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As intelligent sensing technology advances in areas like smart morphing aircraft, precision medicine, and continuum robots, reconstruction accuracy in optical fiber shape sensing becomes increasingly important. This p...
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Enhancing the performance metrics of polymer electrolyte membrane (PEM) fuel cells, including net power and hydrogen cost, is critically important, especially considering parameter uncertainty. This study introduces a...
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