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Titlebook: Intelligent Computing Theories and Application; 13th International C De-Shuang Huang,Vitoantonio Bevilacqua,Phalguni Gu Conference proceedi

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Gbest-Guided Covariance Matrix Adaptation Evolution Strategy for Large Scale Global Optimization. Inspired by the concept of global best (gbest) guided strategy, this paper proposes a gbest-guided covariance matrix adaptation evolution strategy (GCMA-ES) where the gbest information is utilized in the search equation to guide the exploitation process. The GCMA-ES can take advantages from both t
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A Fast Approximate Hypervolume Calculation Method by a Novel Decomposition Strategylume value can be used as a quality indicator or selection indicator for multiobjective evolutionary algorithms (MOEAs), and thus the efficiency of calculating this measurement is of crucial importance especially in the case of large sets or many dimensional objective spaces. To fast calculate hyper
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An Evolutionary Algorithm for Autonomous Agents with Spiking Neural Networksaper, we propose an evolutionary algorithm for neurally-driven autonomous agents, each agent is controlled by a spiking neural network, and the network receives the sensory inputs and processes the motor outputs through the encoded spike information. The controlling spiking neural networks of autono
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Data Transfer and Extension for Mining Big Meteorological Dataments. This work is significant and has a technical challenge. However, the maintained data of the small cities and the medium cities are very limited due to historical reasons. It is adverse to build an accurate forecast model. Aiming at this problem, a temperature forecast method based on transfer
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