Hi Collin,
Yes, there are a number of PSO algorithms to solve MOO problems
using only
one population. Here are some references:
@InProceedings{02COE03,
author = "C.A. Coello Coello and G. Toscano Pulido and M. Salazar
Lechuga",
title = "{An Extension of Particle Swarm Optimization that can
Handle Multiple Objectives}",
booktitle = "Workshop on Multiple Objective Metaheuristics",
location = "Paris, France",
year = "2002",
notes =
"http://delta.cs.cinvestav.mx/~ccoello/conferences/momh-2002-short.pdf.gz"
}
@inproceedings{03MOS00,
author = "S. Mostaghim and J. Teich",
title = "{Strategies for Finding Local Guides in Multi-Objective
Particle Swarm Optimization (MOPSO)}",
booktitle = "Proceedings of the IEEE Swarm Intelligence
Symposium",
location = "Indianapolis, USA",
pages = "26--33",
year = "2003"
}
@InProceedings{03MOS01,
author = "S. Mostaghim and J. Teich",
title = "{The Role of $\varepsilon$-dominance in Multi-objective
Particle Swarm Optimization Methods}",
booktitle = "Proceedings of the IEEE Congress on Evolutionary
Computation",
pages = "1764--1771",
year = "2003"
}
@inproceedings{03ZHA02,
author = "Y. Zhang and S. Huang",
title = "{Multiobjective Optimization using Distance-Based
Particle Swarm Optimization}",
booktitle = "Proceedings of the International Conference on
Computational Intelligence, Robotics and Autonomous Systems",
location = "Singapore",
year = "2003"
}
Best wishes
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==========================================================
Prof Andries P Engelbrecht
South African Research Chair in Artificial Intelligence
Head of Department of Computer Science
Fundamentals of Computational Swarm Intelligence,
John Wiley& Sons, December 2005.
Computational Intelligence, An Introduction
John Wiley& Sons, Second edition, 2007
Computational Intelligence Research Group:
http://cirg.cs.up.ac.za
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