📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition (2012)

First Author: Zhang G

Attributed to: A NEW FRAMEWORK FOR HYBRID THROUGH-PROCESS MODELLING, PROCESS SIMULATION AND OPTIMISATION IN THE METALS INDUSTRY funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/cec.2012.6256489

Publication URI: http://dx.doi.org/10.1109/cec.2012.6256489

Type: Conference/Paper/Proceeding/Abstract

ISBN: 978-1-4673-1510-4