This paper studies the target searching problem using swarms of unmanned aerial vehicles (UAVs) in unknown environments which information is unknown to the UAVs, other than features they detect through their sensors. Effective decision and control methods are required for UAVs that consider their limitations and characteristics when confronted with target searching problems. A cooperative target searching method is proposed for swarm UAVs based on an improved bean optimization algorithm (BOA) called Robot Bean Optimization Algorithm (RBOA). Compared with conventional BOAs used for optimal computation, RBOA has two main modifications for the cooperative control of swarm robots: 1) it accounts for the free motion space of individual UAVs using a Thiessen polygon; and 2) it adds a free space search mechanism to improve the efficiency of target searching. Based on the above improvements, and by integrating a multi-phase search mechanism and scheduling control strategy, a swarm UAV collaborative search simulation platform is built for experimental purposes. The results obtained from search simulations show that the RBOA can outperform adaptive robotic particle swarm optimization (A-RPSO) in target searches in complex and unknown environments, especially with fewer evolutionary generations and smaller numbers of robots. The RBOA, which is inspired by plant population evolutionary patterns, has fast and effective search capabilities, distributed collaborative interaction, and emergent swarm intelligence. It provides new ideas and support for research into the control of swarm UAVs and swarm robots.
The COVID-19 pandemic will change China’s macroeconomic environment in terms of total demand and total supply in the next one to two quarters. The article compares the economic environment at present and that of severe acute respiratory syndrome (SARS) to define the potential influence of the new coronavirus (COVID-19). The potential impact on the macroeconomy includes the slower growth of consumption and investment, fluctuation of prices, and the contraction of export and import. The policy environment will also change in terms of monetary and fiscal policy, which will affect firms’ financing and tax paying. The impact on the consumer economy will be large. First, three modes of the influence on different types of retail industries include moderate, positive, and negative. The epidemic accelerates the revolution of business patterns in China, since the no-man delivery, sinking market, and indoors economy have emerged as the new powers in changing the business models. In general, although the impact of the epidemic on consumption seems comparatively the largest, the “compensatory consumption” can alleviate it to some extent.
The purpose of this paper is to establish a green supply chain differential game model for green technology research and development based on a secondary green supply chain composed of a single manufacturer and a single retailer. It compares the differential game equilibrium solutions under centralized and decentralized decision-making. The green supply chain members are coordinated through the dynamic wholesale price mechanism, and numerical simulation is used as a methodology, to verify and explain the results. The study found that compared to decentralized decision-making, the level of green technology and the total profit of green channels are higher under centralized decision-making. When the coordination parameters are within a certain range, the dynamic wholesale price mechanism can coordinate the behavior of manufacturers and retailers. The result also discovers that under the dynamic wholesale price mechanism, with the increase of investment cost coefficient, or the increase of price sensitivity or the decrease of consumer's environmental awareness, the green technology level, product green degree, price, retailer's profit, and the total profit of green channel is decreased. In contrast, the wholesale price and manufacturer's profits are increased.
The infection of the novel coronavirus that originated from Wuhan, China in December 2019 converted rapidly into a pandemic by March 11, 2020. Whereas the infection mortality rate is not completely understood, it seems to be significantly beyond that of other recent pandemics (e.g., H1N1 pandemic). This paper discusses moral injury in the context of disaster and epidemic and how easily the moral psychology of individuals and society can be shaken. Moral injury is a multiscientific concept involving psychology, culture, and religion. Amid the outbreak of the novel coronavirus pneumonia, immoral behaviors and events such as violence, injury, and illness have also caused different degrees of impact on the moral standards of individuals, confusing moral cognition, destroying moral emotion, and weakening moral toughness, resulting in varying degrees of moral injury. If there is no national health, there will be no positive society for all. Based on this, the public needs to pay close attention to the moral health of the whole people and effectively avoid the occurrence of moral injury.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.