On operators and search space topology in multi-objective flow shop scheduling

On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems

“…The reader is referred to T' Kindt and Billaut (2002), Landa et al (2004) for a survey on multiobjective scheduling. Note that both stand-alone and hybrid DMLS-like algorithms have already been applied with success to biobjective flowshop scheduling problems (Basseur et al 2002;Geiger 2007;Dubois-Lacoste et al 2009). Here, some results are also reported for the threeobjective case.…”

“…This process is repeated for all archive members until no more progress can be made. This class of algorithms has shown its efficiency for various MCOPs, either as stand-alone approaches (Paquete et al 2004;Paquete and Stützle 2006;Geiger 2007) or hybridized with other techniques like hybrid metaheuristics (Talbi et al 2001;Basseur et al 2002) and two-phase heuristics Stützle 2006, 2009;Dubois-Lacoste et al 2009;Lust and Teghem 2010;Lust and Jaszkiewicz 2010).…”

Review on Job-Shop and Flow-Shop Scheduling Using

“…MOPS yields better results than SPEAII according to the reported computational experimentation albeit at a higher CPU time requirements. Finally, Geiger 62 has published an interesting study where the topology of the multiobjective flow-shop problem search space is examined. Using several local search algorithms, the author analyzes the distribution of several objectives and tests several combinations of criteria.…”

An Application of Latent Semantic Analysis for Text Categorization

“…In the 100-factor solution, 21 factors are related to MCDM applications. These applications cover not only traditional application areas, such as asset management [24], scheduling problem [25], assignment problem [26], questionnaire survey [27], credit scoring [28,29,30,31], and risk evaluation [32,33,34]; but also emerging novel areas, such as verbal data classification [35], Web-based decision support [36], habitual domains [37], electronic commerce systems [38,39], and e-participation [40]. The second trend is that MCDM has entered into some new research areas [41].…”