Many-Objective optimization: an engineering design perspective

  • Authors:

  • Peter J. Fleming;Robin C. Purshouse;Robert J. Lygoe

  • Affiliations:

  • Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK;PA Consulting Group, London, UK;Powertrain Applications Product Development, Ford Motor Company Ltd

  • Venue:
  • EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
  • Year:
  • 2005

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Abstract

Evolutionary multicriteria optimization has traditionally concentrated on problems comprising 2 or 3 objectives. While engineering design problems can often be conveniently formulated as multiobjective optimization problems, these often comprise a relatively large number of objectives. Such problems pose new challenges for algorithm design, visualisation and implementation. Each of these three topics is addressed. Progressive articulation of design preferences is demonstrated to assist in reducing the region of interest for the search and, thereby, simplified the problem. Parallel coordinates have proved a useful tool for visualising many objectives in a two-dimensional graph and the computational grid and wireless Personal Digital Assistants offer technological solutions to implementation difficulties arising in complex system design.