The DOI matches its Crossref record.
Applications of Multi-Objective Evolutionary Algorithms
Abstract
An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications Optimal Design of Industrial Electromagnetic Devices: A Multiobjective Evolutionary Approach Using a Particle Swarm Optimizer with a Multi-Objective Selection Scheme to Design Combinational Logic Circuits Automatic Control System Design via a Multiobjective Evolutionary Algorithm Evolutionary Multi-Objective Optimization of Trusses A Multi-Objective Evolutionary Algorithm for the Covering Tour Problem Multiobjective Aerodynamic Design and Visualization of Supersonic Wings by Using Adaptive Range Multiobjective Genetic Algorithms Mutli-Objective Spectroscopic Data Analysis of Inertial Confinement Fusion Implosion Cores: Plasma Gradient Determination On Machine Learning with Multiobjective Genetic Optimization and other papers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
An introduction and survey of estimation of distribution algorithms
Hauschild, M., & Pelikan, M. (2011) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2011.08.003 · Cited by 478
Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
Mouret, J.-B., & Doncieux, S. (2009) · 2009 IEEE Congress on Evolutionary Computation · doi:10.1109/cec.2009.4983077 · Cited by 106
Leveraging Cheminformatics Strategies for Inorganic Discovery: Application to Redox Potential Design
Janet, J. P., Gani, T. Z. H., Steeves, A. H., Ioannidis, E. I., & Kulik, H. J. (2017) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.7b00808 · Cited by 56
Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)
Vamplew, P., Smith, B. J., Källström, J., Ramos, G., Rădulescu, R., Roijers, D. M., Hayes, C. F., Heintz, F., Mannion, P., Libin, P. J. K., et al. (2022) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-022-09575-5 · Cited by 41
Hinds, C. A. (2016) · California Polytechnic State University (MSc Thesis) · doi:10.15368/theses.2014.189 · Cited by 1
Metadata
- Authors
- Coello, C. A. C., & Lamont, G. B.
- Venue
- Advances in Natural Computation
- Publisher
- WORLD SCIENTIFIC
- Published
- 2004-12
- ISSN
- 2010-295X (ISSN-L)
- DOI
- 10.1142/5712
- OpenAlex
- W1502374754
- Cited by
- 531
- References
- 0
- FWCI
- 5.83
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.