The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation
Open accessAbstract
We survey the research on interactive evolutionary computation (IEC). The IEC is an EC that optimizes systems based on subjective human evaluation. The definition and features of the IEC are first described and then followed by an overview of the IEC research. The overview primarily consists of application research and interface research. In this survey the IEC application fields include graphic arts and animation, 3D computer graphics lighting, music, editorial design, industrial design, facial image generation, speed processing and synthesis, hearing aid fitting, virtual reality, media database retrieval, data mining, image processing, control and robotics, food industry, geophysics, education, entertainment, social system, and so on. The interface research to reduce human fatigue is also included. Finally, we discuss the IEC from the point of the future research direction of computational intelligence. This paper features a survey of about 250 IEC research papers.
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Citations
Cites
Artificial evolution for computer graphics
Sims, K. (1991) · Proceedings of the 18th annual conference on Computer graphics and interactive techniques · doi:10.1145/122718.122752 · Cited by 741 · cited 2×
“) , 2-D CG based on mathematical equations or cellar automaton rules [179], [180], [224], [181], [10], [11], [105], [236], [47], [228], [1], [229], [230], [167], [231], [240], [232], 3-D CG rendering [223], animal CG [44], and airplane drawing evolved by wings and bodies [125], [126].”
Method
Cited by
Search-Based Procedural Content Generation: A Taxonomy and Survey
Togelius, J., Yannakakis, G. N., Stanley, K. O., & Browne, C. (2011) · IEEE Transactions on Computational Intelligence and AI in Games · doi:10.1109/tciaig.2011.2148116 · Cited by 706
Experience-Driven Procedural Content Generation
Yannakakis, G. N., & Togelius, J. (2011) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.6 · Cited by 470
Picbreeder: evolving pictures collaboratively online
Secretan, J., Beato, N., D Ambrosio, D. B., Rodriguez, A., Campbell, A., & Stanley, K. O. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357328 · Cited by 192
Lehman, J., Clune, J., Misevic, D., Adami, C., Altenberg, L., Beaulieu, J., Bentley, P. J., Bernard, S., Beslon, G., Bryson, D. M., et al. (2020) · Artificial Life · doi:10.1162/artl_a_00319 · Cited by 181
Mixed-initiative content creation
Liapis, A., Smith, G., & Shaker, N. (2016) · Computational Synthesis and Creative Systems · doi:10.1007/978-3-319-42716-4_11 · Cited by 71
Metadata
- Authors
- Takagi, H.
- Venue
- Proceedings of the IEEE
- Published
- 2001
- Volume
- 89
- Issue
- 9
- Pages
- 1275-1296
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2151019861
- Cited by
- 1,327
- References
- 1
- FWCI
- 27.79
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
