Artificially inducing environmental changes in evolutionary dynamic optimization
dc.cclicence | CC-BY-NC | en |
dc.contributor.author | Tinos, Renato | en |
dc.contributor.author | Yang, Shengxiang | en |
dc.date.acceptance | 2016-05-30 | en |
dc.date.accessioned | 2016-09-29T13:09:28Z | |
dc.date.available | 2016-09-29T13:09:28Z | |
dc.date.issued | 2016-08-31 | |
dc.description.abstract | Biological and artificial evolution can be speeded up by environmental changes. From the evolutionary computation perspective, environmental changes during the optimization process generate dynamic optimization problems (DOPs). However, only DOPs caused by intrinsic changes have been investigated in the area of evolutionary dynamic optimization (EDO). This paper is devoted to investigate artificially induced DOPs. A framework to generate artificially induced DOPs from any pseudo-Boolean problem is proposed. We use this framework to induce six different types of changes in a 0–1 knapsack problem and test which one results in higher speed up. Two strategies based on immigrants, which are used in EDO, are adapted to the artificially induced DOPs investigated here. Some types of changes did not result in better performance, while some types led to higher speed up. The algorithm with memory based immigrants presented very good performance. | en |
dc.explorer.multimedia | No | en |
dc.funder | EPSRC (Engineering and Physical Sciences Research Council) | en |
dc.identifier.citation | Tinos, R. and Yang, S. (2016) Artificially inducing environmental changes in evolutionary dynamic optimization. Proceedings of the 14th International Conference on Parallel Problems Solving from Nature (PPSN XIV), Lecture Notes in Computer Science, vol. 9921, pp. 225-236 | en |
dc.identifier.doi | https://doi.org/10.1007/978-3-319-45823-6_21 | |
dc.identifier.isbn | 9783319458229 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/2086/12661 | |
dc.language.iso | en_US | en |
dc.peerreviewed | Yes | en |
dc.projectid | EP/K001310/1 | en |
dc.publisher | Springer | en |
dc.researchgroup | Centre for Computational Intelligence | en |
dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
dc.subject | Artificially inducing environmental changes | en |
dc.subject | Evolutionary dynamic optimization | en |
dc.subject | 0-1 knapsack problem | en |
dc.title | Artificially inducing environmental changes in evolutionary dynamic optimization | en |
dc.type | Conference | en |
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