Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Yabing Zha"'
Publikováno v:
IEEE Access, Vol 6, Pp 29332-29343 (2018)
Network defense and attack problems can be modeled as network interdictions. In this paper, we consider a new version of the network interdiction problem that optimizes the interdictor's resource consumption while limiting network capacities (e.g., t
Externí odkaz:
https://doaj.org/article/713de62b31314ca88d1985c6a4791eb4
Publikováno v:
Symmetry, Vol 11, Iss 2, p 237 (2019)
Shortest-path network interdiction, where a defender strategically allocates interdiction resource on the arcs or nodes in a network and an attacker traverses the capacitated network along a shortest s-t path from a source to a terminus, is an import
Externí odkaz:
https://doaj.org/article/d987950d451744fb94c66e6c54d376d5
Publikováno v:
Energies, Vol 11, Iss 10, p 2744 (2018)
In load predication, point-based forecasting methods have been widely applied. However, uncertainties arising in load predication bring significant challenges for such methods. This therefore drives the development of new methods amongst which interv
Externí odkaz:
https://doaj.org/article/fc98fc09f34c4241884d27065fca1a01
Publikováno v:
Applied Sciences, Vol 8, Iss 7, p 1077 (2018)
In modern training, entertainment and education applications, behavior trees (BTs) have already become a fantastic alternative to finite state machines (FSMs) in modeling and controlling autonomous agents. However, it is expensive and inefficient to
Externí odkaz:
https://doaj.org/article/1cb03ae376c44a99a04d11a73203d96e
Publikováno v:
Energies, Vol 11, Iss 6, p 1554 (2018)
Short-term load forecasting is the basis of power system operation and analysis. In recent years, the use of a deep belief network (DBN) for short-term load forecasting has become increasingly popular. In this study, a novel deep-learning framework b
Externí odkaz:
https://doaj.org/article/73dc812cb97f4da5a64deda98cab4b2e
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2016 (2016)
Multiagent goal recognition is important in many simulation systems. Many of the existing modeling methods need detailed domain knowledge of agents’ cooperative behaviors and a training dataset to estimate policies. To solve these problems, we prop
Externí odkaz:
https://doaj.org/article/b297a543c2c44bc68269570856d8373b
Publikováno v:
Applied Sciences, Vol 7, Iss 9, p 872 (2017)
The application of artificial intelligence (AI) to real-time strategy (RTS) games includes considerable challenges due to the very large state spaces and branching factors, limited decision times, and dynamic adversarial environments involved. To add
Externí odkaz:
https://doaj.org/article/6f354aedafb64eea984389342236787f
Publikováno v:
Energies, Vol 10, Iss 5, p 674 (2017)
Due to the scarcity of conventional energy resources and the greenhouse effect, renewable energies have gained more attention. This paper proposes methods for multi-objective optimal design of hybrid renewable energy system (HRES) in both isolated-is
Externí odkaz:
https://doaj.org/article/8cb64b65a0574890bb7a696931d31743
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
Formation control of multirobot systems has drawn significant attention in the recent years. This paper presents a potential field control algorithm, navigating a swarm of robots into a predefined 2D shape while avoiding intermember collisions. The a
Externí odkaz:
https://doaj.org/article/0be55bbdd2a7439682f496060173d569
Publikováno v:
Ecological Indicators, Vol 169, Iss , Pp 112900- (2024)
Achieving carbon neutrality necessitates a dual focus on minimizing carbon emissions and maximizing carbon sequestration, rather than solely concentrating on emission reduction. This study proposes a Carbon Pressure Index (CPI) to assess the equilibr
Externí odkaz:
https://doaj.org/article/792bccc48cef4f8693e579354b89acac