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Chapter and Conference Paper
COVID-19 Urban Emergency Logistics Planning with Multi-objective Optimization Model
In response to the negative effects of epidemics on society, it is crucial to examine urban emergency supplies, particularly during the COVID-19 pandemic. To meet the material needs of urban residents and redu...
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Chapter and Conference Paper
Multi-objective Optimization Technique for RSU Deployment
Due to its short latency, low transmission cost, and benefit in data security, the vehicle to roadside-units (V2R) technology is growing in importance in the VANET. Roadside unit (RSU) complicated location, ho...
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Article
A survey of biogeography-based optimization
Optimization is a classical issue and in many areas that are bound up with people’s daily life. In current decades, with the development of human civilization and industry society, many complicated optimizatio...
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Chapter and Conference Paper
A Novel Strategy to Control Population Diversity and Convergence for Genetic Algorithm
Genetic algorithm (GA), an efficient evolutionary algorithm inspired from the science of genetics, attracts the worldwide attention for several decades. This paper tries to strengthen the search ability of the...
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Article
Drift analysis of mutation operations for biogeography-based optimization
As an essential factor of evolutionary algorithms (EAs), mutation operator plays an important role in exploring the search space, maintaining the diversity of individuals and breaking away local optimums. In m...
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Chapter and Conference Paper
Application-Oriented Intercultural Engineering Education in Automotive Engineering and Service
The paper describes how the theory-oriented education principles of China’s universities are combined with the practical-oriented education methods of Germany’s universities of applied sciences in CDHAW (Chine...
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Chapter
Improved Kernel Density Background Estimation with Diversity Sampling and Neighbor Information for Traffic Monitoring
Dynamic background extraction is one of the key tasks in moving object detection in static camera surveillance for traffic monitoring. The kernel density estimation is for nonparametric multi-mode background m...