Analysing the performance of dynamic multi-objective optimisation algorithms

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Bibliographic Details
Title: Analysing the performance of dynamic multi-objective optimisation algorithms
Authors: Helbig, M, Engelbrecht, AP
Publisher Information: IEEE Xplore
Publication Year: 2013
Collection: Council for Scientific and Industrial Research (South Africa): CSIR Research Space
Subject Terms: Dynamic multi-objective optimisation problems, DMOOP, Dynamic multi-objective optimisation algorithm, DMOA
Description: 2013 IEEE Congress on Evolutionary Computation, 20-23 June 2013, Cancún, México. Published in IEEE Xplore. ; Dynamic multi-objective optimisation problems (DMOOPs) have more than one objective, with at least one objective changing over time. Since at least two of the objectives are normally in conflict with one another, a single solution does not exist and the goal of the algorithm is to track a set of tradeoff solutions over time. Analysing the performance of a dynamic multi-objective optimisation algorithm (DMOA) is not a trivial task. For each environment (before a change occurs) the DMOA has to find a set of solutions that are both diverse and as close as possible to the optimal trade-off solution set. In addition, the DMOA has to track the changing set of trade-off solutions over time. Approaches used to analyse the performance of dynamic single-objective optimisation algorithms (DSOAs) and DMOAs do not provide any information about the ability of the algorithms to track the changing optimum. Therefore, this paper introduces a new approach to analyse the performance of DMOAs and applies this approach to the results obtained by five DMOAs. In addition, it compares the new analysis approach to another approach that does not take the tracking ability of the DMOAs into account. The results indicate that the new analysis approach provide additional information, measuring the ability of the algorithm to find good performance measure values while tracking the changing optima.
Document Type: conference object
File Description: application/pdf
Language: English
Relation: Workflow;11367; http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6557744; http://hdl.handle.net/10204/6945
Availability: http://hdl.handle.net/10204/6945
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6557744
Accession Number: edsbas.F09C0A07
Database: BASE
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