{"date_updated":"2025-12-12T06:13:51Z","date_created":"2025-12-12T06:13:06Z","type":"journal_article","department":[{"_id":"819"}],"status":"public","author":[{"first_name":"Carlos","last_name":"Hernández","full_name":"Hernández, Carlos"},{"last_name":"Rodriguez-Fernandez","full_name":"Rodriguez-Fernandez, Angel E.","first_name":"Angel E."},{"last_name":"Schäpermeier","full_name":"Schäpermeier, Lennart","first_name":"Lennart"},{"last_name":"Cuate","full_name":"Cuate, Oliver","first_name":"Oliver"},{"full_name":"Trautmann, Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","id":"100740","first_name":"Heike"},{"full_name":"Schütze, Oliver","last_name":"Schütze","first_name":"Oliver"}],"language":[{"iso":"eng"}],"doi":"10.1109/TEVC.2025.3637276","publication":"IEEE Transactions on Evolutionary Computation","user_id":"15504","keyword":["Optimization","Evolutionary computation","Hands","Proposals","Convergence","Computational efficiency","Artificial intelligence","Accuracy","Approximation algorithms","Aerospace electronics","Multi-objective optimization","evolutionary algorithms","nearly optimal solutions","multimodal optimization","archiving","continuation"],"_id":"63053","title":"An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization","citation":{"ama":"Hernández C, Rodriguez-Fernandez AE, Schäpermeier L, Cuate O, Trautmann H, Schütze O. An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation. Published online 2025:1-1. doi:10.1109/TEVC.2025.3637276","apa":"Hernández, C., Rodriguez-Fernandez, A. E., Schäpermeier, L., Cuate, O., Trautmann, H., & Schütze, O. (2025). An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation, 1–1. https://doi.org/10.1109/TEVC.2025.3637276","chicago":"Hernández, Carlos, Angel E. Rodriguez-Fernandez, Lennart Schäpermeier, Oliver Cuate, Heike Trautmann, and Oliver Schütze. “An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary Computation, 2025, 1–1. https://doi.org/10.1109/TEVC.2025.3637276.","short":"C. Hernández, A.E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2025) 1–1.","bibtex":"@article{Hernández_Rodriguez-Fernandez_Schäpermeier_Cuate_Trautmann_Schütze_2025, title={An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}, DOI={10.1109/TEVC.2025.3637276}, journal={IEEE Transactions on Evolutionary Computation}, author={Hernández, Carlos and Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Cuate, Oliver and Trautmann, Heike and Schütze, Oliver}, year={2025}, pages={1–1} }","mla":"Hernández, Carlos, et al. “An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary Computation, 2025, pp. 1–1, doi:10.1109/TEVC.2025.3637276.","ieee":"C. Hernández, A. E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann, and O. Schütze, “An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization,” IEEE Transactions on Evolutionary Computation, pp. 1–1, 2025, doi: 10.1109/TEVC.2025.3637276."},"year":"2025","page":"1-1"}