{"type":"journal_article","page":"1-1","user_id":"15504","date_created":"2024-09-24T08:01:14Z","status":"public","date_updated":"2024-09-24T08:01:47Z","publication":"IEEE Transactions on Evolutionary Computation","title":"Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization","author":[{"last_name":"Rodriguez-Fernandez","full_name":"Rodriguez-Fernandez, Angel E.","first_name":"Angel E."},{"first_name":"Lennart","last_name":"Schäpermeier","full_name":"Schäpermeier, Lennart"},{"first_name":"Carlos","full_name":"Hernández, Carlos","last_name":"Hernández"},{"first_name":"Pascal","full_name":"Kerschke, Pascal","last_name":"Kerschke"},{"orcid":"0000-0002-9788-8282","first_name":"Heike","last_name":"Trautmann","full_name":"Trautmann, Heike","id":"100740"},{"first_name":"Oliver","last_name":"Schütze","full_name":"Schütze, Oliver"}],"year":"2024","keyword":["Optimization","Evolutionary computation","Approximation algorithms","Benchmark testing","Vectors","Surveys","Pareto optimization","multi-objective optimization","evolutionary computation","multimodal optimization","local solutions"],"citation":{"chicago":"Rodriguez-Fernandez, Angel E., Lennart Schäpermeier, Carlos Hernández, Pascal Kerschke, Heike Trautmann, and Oliver Schütze. “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” <i>IEEE Transactions on Evolutionary Computation</i>, 2024, 1–1. <a href=\"https://doi.org/10.1109/TEVC.2024.3458855\">https://doi.org/10.1109/TEVC.2024.3458855</a>.","ama":"Rodriguez-Fernandez AE, Schäpermeier L, Hernández C, Kerschke P, Trautmann H, Schütze O. Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. <i>IEEE Transactions on Evolutionary Computation</i>. Published online 2024:1-1. doi:<a href=\"https://doi.org/10.1109/TEVC.2024.3458855\">10.1109/TEVC.2024.3458855</a>","short":"A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1.","mla":"Rodriguez-Fernandez, Angel E., et al. “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” <i>IEEE Transactions on Evolutionary Computation</i>, 2024, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/TEVC.2024.3458855\">10.1109/TEVC.2024.3458855</a>.","apa":"Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P., Trautmann, H., &#38; Schütze, O. (2024). Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. <i>IEEE Transactions on Evolutionary Computation</i>, 1–1. <a href=\"https://doi.org/10.1109/TEVC.2024.3458855\">https://doi.org/10.1109/TEVC.2024.3458855</a>","bibtex":"@article{Rodriguez-Fernandez_Schäpermeier_Hernández_Kerschke_Trautmann_Schütze_2024, title={Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}, DOI={<a href=\"https://doi.org/10.1109/TEVC.2024.3458855\">10.1109/TEVC.2024.3458855</a>}, journal={IEEE Transactions on Evolutionary Computation}, author={Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Hernández, Carlos and Kerschke, Pascal and Trautmann, Heike and Schütze, Oliver}, year={2024}, pages={1–1} }","ieee":"A. E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, and O. Schütze, “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization,” <i>IEEE Transactions on Evolutionary Computation</i>, pp. 1–1, 2024, doi: <a href=\"https://doi.org/10.1109/TEVC.2024.3458855\">10.1109/TEVC.2024.3458855</a>."},"_id":"56221","doi":"10.1109/TEVC.2024.3458855","language":[{"iso":"eng"}]}