Of these techniques, Goal Programming is perhaps the most popular. This paper presents a review of goal programming, updating recent algorithmic development and computer code elaboration. It emphasises also that goal programming can be of immense benefit in developing countries as an aid to better ...
We survey mixed-integer programming techniques as they are applied in bilevel optimization. • We focus on bilevel problems with convex or linear lower-level problems as well as on problems with mixed-integer lower levels. • Special attention is given to bilevel pricing problems, Stackelberg...
Dabhi, V.K.; Chaudhary, S. A survey on techniques of improving generalization ability of genetic programming solutions. arXiv 2012, arXiv:1211.1119.Dabhi, V. K., & Chaudhary, S. (n.d.). A Survey on Techniques of Improving Generalization Ability of Genetic Programming Solutions....
There are also techniques for serviceability such as human computation programming and workflow control. The current remarkable expansion of deep learning is supported by frameworks such as PyTorch and TensorFlow, which enable the use of deep learning without considering the details of learning algorithms...
Fig. 6. Target programming languages for each considered category. In the rest of this section, we delve into each category and sub-category at a time, break down the entire workflow of a code analysis task into fine-grained steps, and summarize the method and ml techniques used. It is ...
“Background” introduces a technical background of the performance of the techniques used to augment time series data; Sect.5: “Evaluationmetrics” explains the problematic associated with how to evaluate the results of the new synthetic data; Sect.6: “Data Augmentation algorithms review” ...
Survey on Java Optimization Techniques 来自 Semantic Scholar 喜欢 0 阅读量: 21 作者:HJ Wang,S Long 摘要: Java has emerged as a dominant programming language widely used in a large variety of application areas.However,its architectural independent design means that it is frequently unable to ...
users are ill. While GFT showed the value of using digital streams like search data to forecast important events, it ultimately faced considerable challenges1,11,12. We pick up on two major issues identified by prior research12, and present methods, relying on standard techniques, to address ...
The application of several swarm intelligence and evolutionary metaheuristic algorithms in data clustering problems has in the past few decades gained wide
“Reduced-order modeling” section reviews the ROM techniques; associated adaptive strategies are presented in “Adaptive reduced-order models” section. Reduced-order modeling While the surrogate modeling techniques cited in the previous Sections can exploit integrated quantities, ROM can capture spatial ...