Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386193183> ?p ?o ?g. }
- W4386193183 abstract "In this article, a new hybrid improved differential evolution and Nelder-Mead (IDE-NM) is introduced for optimizing the multi-objective machining process during the turning operation under three modes of lubrication conditions. The fitness functions are the tangential cutting force, the surface roughness, and the cutting power. Five mixed design variables are considered in the optimization procedure including the cutting speed, feed rate, and depth of cut, mode of lubrication, and the type of cutting material. The mathematical expressions of the three objectives are created based on experimental results and modeled using the artificial neural network (ANN). In the first step, the proposed method is examined by solving seven mechanical engineering design problems. The comparison results illustrate that the IDE-NM algorithm outperforms other state-of-the-art optimization methods considered in the literature. Moreover, for the turning operation problem, the results of IDE-NM are compared with those of four recent metaheuristics. The results show that the proposed method outperforms the four compared algorithms in terms of robustness, high success rate, and can provide effective solutions." @default.
- W4386193183 created "2023-08-27" @default.
- W4386193183 creator A5027992630 @default.
- W4386193183 creator A5031862480 @default.
- W4386193183 creator A5043270912 @default.
- W4386193183 creator A5077569210 @default.
- W4386193183 date "2023-08-26" @default.
- W4386193183 modified "2023-09-28" @default.
- W4386193183 title "Optimization of turning process parameters using a new hybrid evolutionary algorithm" @default.
- W4386193183 cites W1995880963 @default.
- W4386193183 cites W2003890325 @default.
- W4386193183 cites W2133500430 @default.
- W4386193183 cites W2171074980 @default.
- W4386193183 cites W2464587182 @default.
- W4386193183 cites W2529369317 @default.
- W4386193183 cites W2617638177 @default.
- W4386193183 cites W2766940447 @default.
- W4386193183 cites W2804905882 @default.
- W4386193183 cites W2900328781 @default.
- W4386193183 cites W2902421512 @default.
- W4386193183 cites W2921025573 @default.
- W4386193183 cites W2922353305 @default.
- W4386193183 cites W2946297054 @default.
- W4386193183 cites W2984191725 @default.
- W4386193183 cites W2985033708 @default.
- W4386193183 cites W3007907254 @default.
- W4386193183 cites W3016057476 @default.
- W4386193183 cites W3027341029 @default.
- W4386193183 cites W3038102268 @default.
- W4386193183 cites W3098901608 @default.
- W4386193183 cites W3101127658 @default.
- W4386193183 cites W3145003319 @default.
- W4386193183 cites W3165804313 @default.
- W4386193183 cites W3169640256 @default.
- W4386193183 cites W3173619368 @default.
- W4386193183 cites W3185182094 @default.
- W4386193183 cites W3190316151 @default.
- W4386193183 cites W3204632312 @default.
- W4386193183 cites W4207042480 @default.
- W4386193183 cites W4213218711 @default.
- W4386193183 cites W4220857461 @default.
- W4386193183 cites W4251478377 @default.
- W4386193183 cites W4254729356 @default.
- W4386193183 cites W4280639945 @default.
- W4386193183 cites W4280646293 @default.
- W4386193183 cites W4281720130 @default.
- W4386193183 cites W4289843125 @default.
- W4386193183 cites W883434633 @default.
- W4386193183 doi "https://doi.org/10.1177/09544062231195472" @default.
- W4386193183 hasPublicationYear "2023" @default.
- W4386193183 type Work @default.
- W4386193183 citedByCount "0" @default.
- W4386193183 crossrefType "journal-article" @default.
- W4386193183 hasAuthorship W4386193183A5027992630 @default.
- W4386193183 hasAuthorship W4386193183A5031862480 @default.
- W4386193183 hasAuthorship W4386193183A5043270912 @default.
- W4386193183 hasAuthorship W4386193183A5077569210 @default.
- W4386193183 hasConcept C104317684 @default.
- W4386193183 hasConcept C107365816 @default.
- W4386193183 hasConcept C109718341 @default.
- W4386193183 hasConcept C111919701 @default.
- W4386193183 hasConcept C11413529 @default.
- W4386193183 hasConcept C126255220 @default.
- W4386193183 hasConcept C127413603 @default.
- W4386193183 hasConcept C154945302 @default.
- W4386193183 hasConcept C159149176 @default.
- W4386193183 hasConcept C159985019 @default.
- W4386193183 hasConcept C184608416 @default.
- W4386193183 hasConcept C185592680 @default.
- W4386193183 hasConcept C192562407 @default.
- W4386193183 hasConcept C33923547 @default.
- W4386193183 hasConcept C41008148 @default.
- W4386193183 hasConcept C50644808 @default.
- W4386193183 hasConcept C523214423 @default.
- W4386193183 hasConcept C55493867 @default.
- W4386193183 hasConcept C63479239 @default.
- W4386193183 hasConcept C74750220 @default.
- W4386193183 hasConcept C78519656 @default.
- W4386193183 hasConcept C98045186 @default.
- W4386193183 hasConceptScore W4386193183C104317684 @default.
- W4386193183 hasConceptScore W4386193183C107365816 @default.
- W4386193183 hasConceptScore W4386193183C109718341 @default.
- W4386193183 hasConceptScore W4386193183C111919701 @default.
- W4386193183 hasConceptScore W4386193183C11413529 @default.
- W4386193183 hasConceptScore W4386193183C126255220 @default.
- W4386193183 hasConceptScore W4386193183C127413603 @default.
- W4386193183 hasConceptScore W4386193183C154945302 @default.
- W4386193183 hasConceptScore W4386193183C159149176 @default.
- W4386193183 hasConceptScore W4386193183C159985019 @default.
- W4386193183 hasConceptScore W4386193183C184608416 @default.
- W4386193183 hasConceptScore W4386193183C185592680 @default.
- W4386193183 hasConceptScore W4386193183C192562407 @default.
- W4386193183 hasConceptScore W4386193183C33923547 @default.
- W4386193183 hasConceptScore W4386193183C41008148 @default.
- W4386193183 hasConceptScore W4386193183C50644808 @default.
- W4386193183 hasConceptScore W4386193183C523214423 @default.
- W4386193183 hasConceptScore W4386193183C55493867 @default.
- W4386193183 hasConceptScore W4386193183C63479239 @default.
- W4386193183 hasConceptScore W4386193183C74750220 @default.
- W4386193183 hasConceptScore W4386193183C78519656 @default.