[{"article_number":"100952","_id":"2777","year":"2021","language":[{"iso":"eng"}],"doi":"10.1016/j.swevo.2021.100952","intvolume":"        67","date_updated":"2026-03-17T15:28:37Z","publisher":"Elsevier BV","author":[{"last_name":"Tharwat","full_name":"Tharwat, Alaa","id":"238549","first_name":"Alaa"},{"orcid":"0000-0003-3300-2048","full_name":"Schenck, Wolfram","last_name":"Schenck","first_name":"Wolfram","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/177802413","id":"224375"}],"citation":{"ieee":"A. Tharwat and W. Schenck, “Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques,” <i>Swarm and Evolutionary Computation</i>, vol. 67, 2021.","alphadin":"<span style=\"font-variant:small-caps;\">Tharwat, Alaa</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques. In: <i>Swarm and Evolutionary Computation</i> Bd. 67, Elsevier BV (2021)","apa":"Tharwat, A., &#38; Schenck, W. (2021). Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques. <i>Swarm and Evolutionary Computation</i>, <i>67</i>. <a href=\"https://doi.org/10.1016/j.swevo.2021.100952\">https://doi.org/10.1016/j.swevo.2021.100952</a>","bibtex":"@article{Tharwat_Schenck_2021, title={Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques}, volume={67}, DOI={<a href=\"https://doi.org/10.1016/j.swevo.2021.100952\">10.1016/j.swevo.2021.100952</a>}, number={100952}, journal={Swarm and Evolutionary Computation}, publisher={Elsevier BV}, author={Tharwat, Alaa and Schenck, Wolfram}, year={2021} }","short":"A. Tharwat, W. Schenck, Swarm and Evolutionary Computation 67 (2021).","chicago":"Tharwat, Alaa, and Wolfram Schenck. “Population Initialization Techniques for Evolutionary Algorithms for Single-Objective Constrained Optimization Problems: Deterministic vs. Stochastic Techniques.” <i>Swarm and Evolutionary Computation</i> 67 (2021). <a href=\"https://doi.org/10.1016/j.swevo.2021.100952\">https://doi.org/10.1016/j.swevo.2021.100952</a>.","mla":"Tharwat, Alaa, and Wolfram Schenck. “Population Initialization Techniques for Evolutionary Algorithms for Single-Objective Constrained Optimization Problems: Deterministic vs. Stochastic Techniques.” <i>Swarm and Evolutionary Computation</i>, vol. 67, 100952, Elsevier BV, 2021, doi:<a href=\"https://doi.org/10.1016/j.swevo.2021.100952\">10.1016/j.swevo.2021.100952</a>.","ama":"Tharwat A, Schenck W. Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques. <i>Swarm and Evolutionary Computation</i>. 2021;67. doi:<a href=\"https://doi.org/10.1016/j.swevo.2021.100952\">10.1016/j.swevo.2021.100952</a>"},"status":"public","publication_status":"published","publication":"Swarm and Evolutionary Computation","publication_identifier":{"issn":["22106502"]},"type":"journal_article","user_id":"249224","date_created":"2023-04-18T21:54:23Z","title":"Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques","volume":67}]