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One of the new and promising metaheuristic methods for solving similar mathematical problem is Cuckoo Search Algorithm. It is inspired by the parasitic brood behavior of cuckoo species. To confirm the effectiveness and the efficiency of the proposed algorithm, simulation results will be compared with other algorithms, firstly, with a classical method which is the Nelder-Mead algorithm and, secondly, with intelligent methods such as Genetic Algorithm and Particle Swarm Optimization approaches.<\/jats:p>","DOI":"10.1155\/2018\/3476851","type":"journal-article","created":{"date-parts":[[2018,1,28]],"date-time":"2018-01-28T18:31:13Z","timestamp":1517164273000},"page":"1-9","source":"Crossref","is-referenced-by-count":15,"title":["Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8957-5876","authenticated-orcid":true,"given":"Intissar","family":"Khoja","sequence":"first","affiliation":[{"name":"Industrial Systems Study and Renewable Energy Unit, National Engineering School of Monastir, University of Monastir, Ibn El Jazzar Street, Skanes, 5019 Monastir, 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