| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 722083 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
A recent shift in optimisation research suggests two trends: one is associated with a move to multi-objective optimisation where challenges of non-unique solutions and the concept of feasibility lie, while the other relates to the development of 'intelligent' algorithms which draw their philosophies from nature and biological intricacies. In this spirit, we propose two new multi-objective optimisation algorithms, a modified PSO algorithm and a societal reasoning method named Reduced Space Searching Algorithm. This paper shows how these algorithms compare to other algorithms and how they can be used to solve a real-world problem, the multi-objective optimal design of alloy steels.
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