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The methodology is based on the computational intelligence algorithms Ant Colony Optimization and Simulated Annealing and allows a customized description of the optimization objective. This is demonstrated by several optimization objectives that have been considered, such as the price on the electricity market. The methodology replaces a conventional, guided operating mode of the system with an intelligent, prognostic-based operation planning. In this way, the systems can be operated more economically and\/or more sustainably.<\/jats:p>","DOI":"10.1515\/auto-2019-0100","type":"journal-article","created":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T09:01:55Z","timestamp":1579683715000},"page":"118-129","source":"Crossref","is-referenced-by-count":5,"title":["A computational intelligence based approach for optimized operation scheduling of energy plants"],"prefix":"10.1515","volume":"68","author":[{"given":"Johannes","family":"Mast","sequence":"first","affiliation":[{"name":"Albstadt-Sigmaringen University , Albstadt , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"R\u00e4dle","sequence":"additional","affiliation":[{"name":"Albstadt-Sigmaringen University , Albstadt , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joachim","family":"Gerlach","sequence":"additional","affiliation":[{"name":"Albstadt-Sigmaringen University , Albstadt , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliver","family":"Bringmann","sequence":"additional","affiliation":[{"name":"Wilhelm-Schickard-Institute for Computer Science , University of T\u00fcbingen , T\u00fcbingen , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2020,1,22]]},"reference":[{"key":"2023033110001605118_j_auto-2019-0100_ref_001_w2aab3b7ab1b6b1ab1b5b1Aa","unstructured":"European Union: Directive 2004\/08\/ec of the European parliament and of the council. 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