Because of the low convergence accuracy of the basic Harris Hawks algorithm,which quickly falls into the local optimal,a Harris Hawks algorithm combining tuna swarm algorithm and differential mutation strategy(TDHHO)i...Because of the low convergence accuracy of the basic Harris Hawks algorithm,which quickly falls into the local optimal,a Harris Hawks algorithm combining tuna swarm algorithm and differential mutation strategy(TDHHO)is proposed.The escape energy factor of nonlinear periodic energy decline balances the ability of global exploration and regional development.The parabolic foraging approach of the tuna swarm algorithm is introduced to enhance the global exploration ability of the algorithm and accelerate the convergence speed.The difference variation strategy is used to mutate the individual position and calculate the fitness,and the fitness of the original individual position is compared.The greedy technique is used to select the one with better fitness of the objective function,which increases the diversity of the population and improves the possibility of the algorithm jumping out of the local extreme value.The test function tests the TDHHO algorithm,and compared with other optimization algorithms,the experimental results show that the convergence speed and optimization accuracy of the improved Harris Hawks are improved.Finally,the enhanced Harris Hawks algorithm is applied to engineering optimization and wireless sensor networks(WSN)coverage optimization problems,and the feasibility of the TDHHO algorithm in practical application is further verified.展开更多
In China,traditional village layouts are dynamic,harmoniously integrated with the natural environment,and rich in unique cultural characteristics.However,rapidly constructed villages often lack professional design,res...In China,traditional village layouts are dynamic,harmoniously integrated with the natural environment,and rich in unique cultural characteristics.However,rapidly constructed villages often lack professional design,resulting in overly simple layouts and causing the villages to lose their traditional characteristics.Artiflcial intelligence holds the potential to alleviate this speciflc challenge.This study employs CGAN to generate comprehensive village layouts based on archetypal traditional villages,while also exploring parameters and network architectures to enhance result quality.The research address on traditional villages in southwestern Hubei,reflning generative factors,introducing image-based geographic scales,and employing machine vision to address data scarcity.The key flndings of this study includes:1)The research explores a class of AI-generated evaluation metrics suitable for village layout generation.2)It conflrms that the combination of the Unet_256 generator with the LSGAN architecture yields the best results in image generation.3)It is observed that the optimal generation results are achieved when the equivalent geographic scale of the image is 150 m×150 m.The study validates that GANs can be effectively applied in the village layout,producing layout results that incorporate traditional local experiences.This provides a novel approach to village layout.展开更多
基金Supported by Key Laboratory of Space Active Opto-Electronics Technology of Chinese Academy of Sciences(2021ZDKF4)Shanghai Science and Technology Innovation Action Plan(21S31904200,22S31903700)。
文摘Because of the low convergence accuracy of the basic Harris Hawks algorithm,which quickly falls into the local optimal,a Harris Hawks algorithm combining tuna swarm algorithm and differential mutation strategy(TDHHO)is proposed.The escape energy factor of nonlinear periodic energy decline balances the ability of global exploration and regional development.The parabolic foraging approach of the tuna swarm algorithm is introduced to enhance the global exploration ability of the algorithm and accelerate the convergence speed.The difference variation strategy is used to mutate the individual position and calculate the fitness,and the fitness of the original individual position is compared.The greedy technique is used to select the one with better fitness of the objective function,which increases the diversity of the population and improves the possibility of the algorithm jumping out of the local extreme value.The test function tests the TDHHO algorithm,and compared with other optimization algorithms,the experimental results show that the convergence speed and optimization accuracy of the improved Harris Hawks are improved.Finally,the enhanced Harris Hawks algorithm is applied to engineering optimization and wireless sensor networks(WSN)coverage optimization problems,and the feasibility of the TDHHO algorithm in practical application is further verified.
基金supported by the National Natural Science Foundation of China(Grant No.51978295)。
文摘In China,traditional village layouts are dynamic,harmoniously integrated with the natural environment,and rich in unique cultural characteristics.However,rapidly constructed villages often lack professional design,resulting in overly simple layouts and causing the villages to lose their traditional characteristics.Artiflcial intelligence holds the potential to alleviate this speciflc challenge.This study employs CGAN to generate comprehensive village layouts based on archetypal traditional villages,while also exploring parameters and network architectures to enhance result quality.The research address on traditional villages in southwestern Hubei,reflning generative factors,introducing image-based geographic scales,and employing machine vision to address data scarcity.The key flndings of this study includes:1)The research explores a class of AI-generated evaluation metrics suitable for village layout generation.2)It conflrms that the combination of the Unet_256 generator with the LSGAN architecture yields the best results in image generation.3)It is observed that the optimal generation results are achieved when the equivalent geographic scale of the image is 150 m×150 m.The study validates that GANs can be effectively applied in the village layout,producing layout results that incorporate traditional local experiences.This provides a novel approach to village layout.
