MOEA/DEP: An algebraic decomposition-based evolutionary algorithm for the multiobjective permutation flowshop scheduling problem

التفاصيل البيبلوغرافية
العنوان: MOEA/DEP: An algebraic decomposition-based evolutionary algorithm for the multiobjective permutation flowshop scheduling problem
المؤلفون: Baioletti, Marco, Milani, Alfredo, Santucci, Valentino
المساهمون: Liefooghe, A, LopezIbanez, M, Baioletti, Marco, Milani, Alfredo, Santucci, Valentino
بيانات النشر: Springer, Cham
سنة النشر: 2018
المجموعة: IRIS Università degli Studi di Perugia
مصطلحات موضوعية: Algebraic evolutionary algorithms, Multiobjective optimization,Permutation Flowshop Scheduling Problem
الوصف: Algebraic evolutionary algorithms are an emerging class of meta-heuristics for combinatorial optimization based on strong mathematical foundations. In this paper we introduce a decomposition-based algebraic evolutionary algorithm, namely MOEA/DEP, in order to deal with multiobjective permutation-based optimization problems. As a case of study, MOEA/DEP has been experimentally validated on a multiobjective permutation flowshop scheduling problem (MoPFSP). In particular, the makespan and total flowtime objectives have been investigated. Experiments have been held on a widely used benchmark suite, and the obtained results have been compared with respect to the state-of-the-art Pareto fronts for MoPFSP. The experimental results have been analyzed by means of two commonly used performance metrics for multiobjective optimization. The analysis clearly shows that MOEA/DEP reaches new state-of-the-art results for the considered benchmark.
نوع الوثيقة: conference object
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/isbn/978-3-319-77448-0; info:eu-repo/semantics/altIdentifier/isbn/978-3-319-77449-7; info:eu-repo/semantics/altIdentifier/wos/WOS:000442943900009; ispartofseries:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); ispartofbook:Evolutionary Computation in Combinatorial Optimization; 18th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2018; volume:10782; firstpage:132; lastpage:145; numberofpages:14; serie:LECTURE NOTES IN COMPUTER SCIENCE; http://hdl.handle.net/11391/1439276; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85044790254; http://springerlink.com/content/0302-9743/copyright/2005/
DOI: 10.1007/978-3-319-77449-7_9
الاتاحة: http://hdl.handle.net/11391/1439276
https://doi.org/10.1007/978-3-319-77449-7_9
http://springerlink.com/content/0302-9743/copyright/2005/
رقم الانضمام: edsbas.D725D241
قاعدة البيانات: BASE
الوصف
DOI:10.1007/978-3-319-77449-7_9