Matches in SemOpenAlex for { <https://semopenalex.org/work/W2745162489> ?p ?o ?g. }
- W2745162489 endingPage "210" @default.
- W2745162489 startingPage "193" @default.
- W2745162489 abstract "The no-wait flow shop scheduling problem (NWFSSP) performs an important function in the manufacturing industry. Inspired by the overall process of teaching-learning, an extended framework of meta-heuristic based on the teaching-learning process is proposed, which consists of four parts, i.e. previewing before class, teaching phase, learning phase, reviewing after class. This paper implements a hybrid meta-heuristic based on probabilistic teaching-learning mechanism (mPTLM) to solve the NWFSSP with the makespan criterion. In previewing before class, an initial method that combines a modified Nawaz-Enscore-Ham (NEH) heuristic and the opposition-based learning (OBL) is introduced. In teaching phase, the Gaussian distribution is employed as the teacher to guide learners to search more promising areas. In learning phase, this paper presents a new means of communication with crossover. In reviewing after class, an improved speed-up random insert local search based on simulated annealing (SA) is developed to enhance the local searching ability. The computational results and comparisons based on Reeves, Taillard and VRF’s benchmarks demonstrate the effectiveness of mPTLM for solving the NWFSSP." @default.
- W2745162489 created "2017-08-17" @default.
- W2745162489 creator A5010732949 @default.
- W2745162489 creator A5072322728 @default.
- W2745162489 creator A5088602677 @default.
- W2745162489 date "2017-12-01" @default.
- W2745162489 modified "2023-10-05" @default.
- W2745162489 title "An extended teaching-learning based optimization algorithm for solving no-wait flow shop scheduling problem" @default.
- W2745162489 cites W1175076636 @default.
- W2745162489 cites W1210381405 @default.
- W2745162489 cites W1595159159 @default.
- W2745162489 cites W1968075052 @default.
- W2745162489 cites W1974226167 @default.
- W2745162489 cites W1978386138 @default.
- W2745162489 cites W1981143548 @default.
- W2745162489 cites W1983280532 @default.
- W2745162489 cites W1999284878 @default.
- W2745162489 cites W2002280630 @default.
- W2745162489 cites W2015993938 @default.
- W2745162489 cites W2016335388 @default.
- W2745162489 cites W2020483114 @default.
- W2745162489 cites W2021905979 @default.
- W2745162489 cites W2028929188 @default.
- W2745162489 cites W2032257665 @default.
- W2745162489 cites W2033030407 @default.
- W2745162489 cites W2035802298 @default.
- W2745162489 cites W2038969653 @default.
- W2745162489 cites W2039385547 @default.
- W2745162489 cites W2041335986 @default.
- W2745162489 cites W2041905867 @default.
- W2745162489 cites W2042057184 @default.
- W2745162489 cites W2052272326 @default.
- W2745162489 cites W2052516622 @default.
- W2745162489 cites W2063345867 @default.
- W2745162489 cites W2063894623 @default.
- W2745162489 cites W2082741438 @default.
- W2745162489 cites W2085594718 @default.
- W2745162489 cites W2088243692 @default.
- W2745162489 cites W2092466445 @default.
- W2745162489 cites W2093545304 @default.
- W2745162489 cites W2122753377 @default.
- W2745162489 cites W2156391157 @default.
- W2745162489 cites W2189779582 @default.
- W2745162489 cites W2261066338 @default.
- W2745162489 cites W2407506046 @default.
- W2745162489 cites W2413424110 @default.
- W2745162489 cites W2515915570 @default.
- W2745162489 cites W2534846235 @default.
- W2745162489 cites W2567328116 @default.
- W2745162489 cites W2606853036 @default.
- W2745162489 doi "https://doi.org/10.1016/j.asoc.2017.08.020" @default.
- W2745162489 hasPublicationYear "2017" @default.
- W2745162489 type Work @default.
- W2745162489 sameAs 2745162489 @default.
- W2745162489 citedByCount "42" @default.
- W2745162489 countsByYear W27451624892018 @default.
- W2745162489 countsByYear W27451624892019 @default.
- W2745162489 countsByYear W27451624892020 @default.
- W2745162489 countsByYear W27451624892021 @default.
- W2745162489 countsByYear W27451624892022 @default.
- W2745162489 countsByYear W27451624892023 @default.
- W2745162489 crossrefType "journal-article" @default.
- W2745162489 hasAuthorship W2745162489A5010732949 @default.
- W2745162489 hasAuthorship W2745162489A5072322728 @default.
- W2745162489 hasAuthorship W2745162489A5088602677 @default.
- W2745162489 hasConcept C111919701 @default.
- W2745162489 hasConcept C11413529 @default.
- W2745162489 hasConcept C119857082 @default.
- W2745162489 hasConcept C122507166 @default.
- W2745162489 hasConcept C123370116 @default.
- W2745162489 hasConcept C126255220 @default.
- W2745162489 hasConcept C126980161 @default.
- W2745162489 hasConcept C135320971 @default.
- W2745162489 hasConcept C154945302 @default.
- W2745162489 hasConcept C158336966 @default.
- W2745162489 hasConcept C173801870 @default.
- W2745162489 hasConcept C206729178 @default.
- W2745162489 hasConcept C33923547 @default.
- W2745162489 hasConcept C41008148 @default.
- W2745162489 hasConcept C55416958 @default.
- W2745162489 hasConcept C68387754 @default.
- W2745162489 hasConceptScore W2745162489C111919701 @default.
- W2745162489 hasConceptScore W2745162489C11413529 @default.
- W2745162489 hasConceptScore W2745162489C119857082 @default.
- W2745162489 hasConceptScore W2745162489C122507166 @default.
- W2745162489 hasConceptScore W2745162489C123370116 @default.
- W2745162489 hasConceptScore W2745162489C126255220 @default.
- W2745162489 hasConceptScore W2745162489C126980161 @default.
- W2745162489 hasConceptScore W2745162489C135320971 @default.
- W2745162489 hasConceptScore W2745162489C154945302 @default.
- W2745162489 hasConceptScore W2745162489C158336966 @default.
- W2745162489 hasConceptScore W2745162489C173801870 @default.
- W2745162489 hasConceptScore W2745162489C206729178 @default.
- W2745162489 hasConceptScore W2745162489C33923547 @default.
- W2745162489 hasConceptScore W2745162489C41008148 @default.
- W2745162489 hasConceptScore W2745162489C55416958 @default.
- W2745162489 hasConceptScore W2745162489C68387754 @default.
- W2745162489 hasFunder F4320321001 @default.