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Abstract-The sustainable development of Chinese urbanization is closely related with the housing industry. It is a critical problem to establish a suitable construction model of the housing projects which can both be effective to protect the environment and meet the demands of the housing supply due to the urbanization. There are three main construction model of housing project including brick and...
Optimization of signal control at isolated intersections has been an important research focus in traffic engineering over the past few years. Due to its flexibility and practicality, fully actuated control has been extensively deployed. In the conventional actuated control scheme, two important parameters, i.e., minimum and maximum green times, are arbitrarily prespecified, although it is widely recognized...
A matrix-coded genetic algorithm is proposed for solving the flexible job shop scheduling problem (FJSP). Novel strategies have been incorporated into crossover operator and mutation operator to assist the matrix-coded genetic algorithm to perform well. The matrix-coded genetic algorithm is a direct-viewing and easy to operate, a set of benchmark taken from the literature are tested. The computation...
The job shop scheduling problem (JSP) is well known as one of the most complex optimization problems due to its very large search space and many constraint between machines and jobs. Memetic algorithm (MA) is a hybrid evolutionary algorithm that combines the global search strategy and local search strategy. In this paper, an efficient MA combined with a novel local search strategy by exchanging and...
Providing quality travel conditions to High Occupancy Vehicles (HOVs) is essential for travel demand control and High Occupancy Toll (HOT) lane system operations. In most HOT lane systems converted from previous HOV lane facilities, physical barriers or double white lines are utilized to separate HOT lane from General Purpose (GP) lanes. Only specified merging areas are available for both HOVs and...
Flexible job shop scheduling problem (FJSP) is an important extension of the classical job shop scheduling problem, where the same operation could be processed on more than one machine. Owing to the high computational complexity, it is quite difficult to achieve an optimal solution with traditional optimization approaches. An improved genetic algorithm combined with tabu search is proposed to solve...
Biometric solution for embedded device gained significant attention in the commercial and research sectors over recent years. Combining multiple biometrics may enhance the performance of personal verification system in accuracy and reliability. This paper presents a new multi-biometric verification solution aimed at implementing on an embedded system within a wide range of applications. The system...
As we know in land battle tank member must perform many diverse tasks in their missions: navigation, system control, enemy engagement, and communication. As human capabilities are limited, the members will find themselves in situations where task load and other factors raise their mental burden severely. In turn, such stress has documented effects on quantitative and qualitative changes in task performance...
Flexible job shop scheduling problem (FJSP) is an important extension of the classical job shop scheduling problem, where the same operation could be processed on more than one machine. An improved genetic algorithm combined with local search is proposed to solve the FJSP with makespan criterion. To control the local search and convergence to the global optimal solution, time-varying crossover probability...
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