Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > MaxiMin MOPSO Design of Parallel Robotic Manipulators
Publication

Publications

MaxiMin MOPSO Design of Parallel Robotic Manipulators

Title
MaxiMin MOPSO Design of Parallel Robotic Manipulators
Type
Article in International Conference Proceedings Book
Year
2011
Authors
freire, h
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
oliveira, pbd
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
pires, ejs
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
lopes, am
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Conference proceedings International
Pages: 339-347
6th International Conference on Soft Computing Models in Industrial and Environmental Applications
Salamanca, SPAIN, APR, 2011
Scientific classification
FOS: Natural sciences > Computer and information sciences
Other information
Authenticus ID: P-002-ZJ8
Abstract (EN): A maximin multiobjective particle swarm optimization algorithm variant is presented, in the context of parallel robotic manipulator design. The choice of a particular structural configuration and its dimensioning is a central issue to the performance of these manipulators. A solution to the dimensioning problem, normally involves the definition of performance criteria as part of an optimization process. In this paper the kinematic design of a 6-dof parallel robotic manipulator is analyzed. Two dynamic performance criteria are formulated and non-dominated optimal solutions are found through a multi-objective particle swarm optimization algorithm. Preliminary simulation results are presented.
Language: English
Type (Professor's evaluation): Scientific
Contact: freireh@gmail.com; oliveira@utad.pt; epires@utad.pt; aml@fe.up.pt
No. of pages: 9
Documents
We could not find any documents associated to the publication.
Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-25 at 13:07:35 | Privacy Policy | Personal Data Protection Policy | Whistleblowing