Guest Editors
Dr. Wen-Tsao Pan, Guangdong University of Foreign Studies, China.
Dr. Chi-Keung Lau, Hang Seng University of Hong Kong.
Dr. Wei-Lin Xiao, Zhejiang University, Hangzhou, China.
Dr. Yi-Wen Zhang, Anhui University, Anhui, China.
Dr. Keping Yu, Hosei University, Japan.
Dr. Marco Chi Keung Lau, Teesside University, UK.
Summary
Optimization can be defined as the action of making the best or most effective use of a situation or resource. At the mathematical level, model optimization refers to the process of seeking the decision between several plans to maximize or minimize the value of target under certain conditions. This concept is widely used in scientific research and social issue, such as engineering technology, economic management, transportation, resource allocation and many other fields. Nowadays, the common way to solve optimal problems is to establish mathematical models based on algorithms and complex calculations, which can adequately achieve the purpose of optimization goals. Among them, Gradient Descent or swarm intelligence algorithms are one of the most frequently applied algorithms, while complex computations includes multi-criteria decision-making, fuzzy computation and attribute reduction of rough sets.
This special issue aims to find new research of advanced optimization algorithms and complex computation to improve the performance of solving model optimization problems in different fields, such as transportation scheduling, site selection strategy, construction planning, network parameter optimization and other model optimization problems. This special issue attempts to look for innovative research on complex computation and optimization algorithms to study model optimization problems and examine the performance of optimizations, which can greatly enrich the current literature Original research and review articles are both welcome.
Keywords
The specific call for paper includes but not limits to the following scopes:
1. Optimization of transportation route
2. Optimization of vehicle scheduling
3. Optimization of construction period planning
4. Maximization of supply and demand profits
5. Optimization of location strategy in various fields
6. Optimization of industrial production scheduling
7. Multi-objective optimization in various fields
8. Optimization of various prediction and decision models
9. Parameter optimization of neural network like model
10. Model optimization in other fields
Published Papers
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