Data-Driven Based State Transition Algorithm for Dynamic Optimization

Most evolutionary algorithms solve the optimization problems by iteratively calculating the values of the objective functions. However, such explicit objective functions may not exist in solving many process industry optimization problems, especially when these processes have time varying dynamics,...

Full description

Bibliographic Details

Published in:	2019 IEEE Symposium Series on Computational Intelligence (SSCI) pp. 1091 - 1096
Main Authors:	Zhang, Yunxiang, Zhou, Xiaojun, Yang, Chunhua
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2019
Subjects:	Approximation algorithms Control vector parametrization Data-driven Dynamic optimization Evolutionary computation Heuristic algorithms Linear programming Optimization Process control State transition algorithm
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!