Genetic and Evolutionary Computing
Proceedings of the Twelfth International Conference on Genetic and Evolutionary Computing, December 14-17, Changzhou, Jiangsu, China
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Chapter and Conference Paper
Prediction and Analysis of Stroke Risk Based on Ensemble Learning
With the development of science and technology, the application of data mining in medical field is becoming more and more popular. Machine learning methods also plays an important role in disease prediction. S...
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Chapter and Conference Paper
Implementation of Campus Pedestrian Detection Using YOLOv5
This study focuses on the development of accurate human detection using the YOLO open-source deep learning framework derived from OpenCV. The aim is to implement campus pedestrian detection. YOLO is a rapidly ...
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Chapter and Conference Paper
An Estimation of Distribution Algorithm for Puzzle Reconstruction Problem
Puzzle is a game to have a very long history for training the human logic thinking. In addition, the puzzle-solving methods can be used in various practical applications. In this paper, we proposed an EDA-base...
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Book and Conference Proceedings
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Chapter and Conference Paper
Cloud Service and APP for Drug–Herb Interaction
Herb–drug interaction is one special kind of drug interactions between herb medicines and conventional drugs. In the East Asia, the herb medicines have been used several thousands of years. However, many peopl...
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Chapter and Conference Paper
Design and Implementation of the Health Monitor for Aged People
The humans’ life has been apparently extended in the recent decades. However, the cost to maintain the aged-people health is still growing up continually. It has been the most important issue how to apply the ...
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Chapter and Conference Paper
A Constructive Problem-Based Course Design for Internet of Things
Learning is the major human activity to acquire new, or reinforce existing knowledge and skills which can make people to accommodate the environment or the society better. The Internet Of Things (IOT) which in...
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Chapter and Conference Paper
An Improved Learnable Evolution Model for Discrete Optimization Problem
Learnable evolution model (LEM) is an efficient evolutionary algorithm for function optimization proposed by Michalski. However, because the design of LEM is for continuous optimization, how to apply it to dis...
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Chapter and Conference Paper
A Virtual Reality Based Training System for Cultural Tourism
In the 21st century, the application of computer in the learning has been transferred from the computer assisted instruction to the e-learning. In the e-learning age, how to provide more practical training is ...
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Chapter and Conference Paper
An Weighted-Content Strategy for Integrating Heterogeneous Itembanks
The assessment is the most effectively tool for the teachers to realized the learning status of the learners. The effectiveness of e-assessment is exceedingly related to the content richness of the itembank. T...
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Chapter and Conference Paper
educoco: A Mobile Social Learning Platform for Project-Based Learning and Collaboration
Learning is a social behavior. The important issue to design a learning management system is how to effectively use the technologies to improve the collaborative learning. Due to the drawbacks of Facebook, the...
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Chapter and Conference Paper
A Novel Genetic Algorithm for Test Sheet Assembling Problem in Learning Cloud
The assessment is the most effectively tool for the teachers to realized the learning status of the learners. The test sheet assembling is an important job in the E-learning. In the future learning cloud envir...
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Chapter and Conference Paper
An Improved ACO by Neighborhood Strategy for Color Image Segmentation
This paper presents an efficient method for speeding up ant colony optimization (ACO) in solving the color image segmentation problem. The proposed method is inspired by the heuristics of image segmentation to...
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Chapter and Conference Paper
An Adaptive Harmony Search Algorithm with Zipf Distribution
Harmony search (HS) can be applied to various optimization problems and easy to implement. In this paper, we try to improve HS by change the reference probability distribution of harmony memory. Zipf distribut...
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Chapter and Conference Paper
Using Particle Swarm Method to Optimize the Proportion of Class Label for Prototype Generation in Nearest Neighbor Classification
Nearest classification with prototype generation methods would be successful on classification in data mining. In this paper, we modify the encoded form of the individual to combine with the proportion for eac...
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Chapter and Conference Paper
A Fast Parallel Genetic Algorithm for Traveling Salesman Problem
In this paper, we present a fast scalable method to reduce the computation time of genetic algorithms for traveling salesman problem, called the Parallel Pattern Reduction Enhanced Genetic Algorithm (PPREGA). ...
