@inproceedings{0cc113623f794462a39f926fa0d13eb7,
title = "Phasmatodea population evolution algorithm and its application in length-changeable incremental extreme learning machine",
abstract = "Extreme learning machine (ELM) is an effective classification and prediction learning algorithm based on feedforward neural network (FNN). This paper presents the Phasmatodea (stick insect) population evolution algorithm (PPE), which is different from other algorithms, in which each solution represents a population and has two attributes: quantity and growth rate. Combining the concept of similar evolution and the model of population competition, it is a new local search method. The algorithm is compared with the other algorithms on benchmark functions and engineering problems. Then use it to enhance a variant of the ELM model. The results show that the proposed algorithm has a certain competitiveness. ",
keywords = "Statistics, Sociology, prediction algorithims, insects, Benchmark testing, Classification algorithms",
author = "Song, {Pei Cheng} and Chu, {Shu Chuan} and Pan, {Jeng Shyang} and Hongmei Yang",
year = "2020",
month = oct,
day = "23",
doi = "10.1109/IAI50351.2020.9262236",
language = "English",
series = "2nd International Conference on Industrial Artificial Intelligence, IAI 2020",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2nd International Conference on Industrial Artificial Intelligence, IAI 2020",
address = "United States",
note = "2nd International Conference on Industrial Artificial Intelligence, IAI 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
}