A mixed variable evolutionary programming for optimisation of mechanical design

Authors
Citation
Yj. Cao et Qh. Wu, A mixed variable evolutionary programming for optimisation of mechanical design, ENG INTEL S, 7(2), 1999, pp. 77-82
Citations number
12
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS
ISSN journal
14728915 → ACNP
Volume
7
Issue
2
Year of publication
1999
Pages
77 - 82
Database
ISI
SICI code
1472-8915(199906)7:2<77:AMVEPF>2.0.ZU;2-R
Abstract
This paper presents a mixed-variable evolutionary programming (MVEP) for so lving mechanical design optimisation problems which contain integer, discre te, zero-one and continuous variables. The MVEP provides an improvement in both global search in a mixed-variable space and convergence performance in the optimisation process. An approach to handle various kinds of variables and constraints is discussed. Mutation operations of different variables a re introduced. The MVEP is evaluated in three examples of the mechanical de sign optimisation problem, which demonstrate that the proposed algorithm is able to find a better solution than that obtained from the existing method s.