Design optimization of cable-stayed bridges is a challenging optimization problem because a large number of variables is usually involved in the optimization process. For these structures the design variables are cross-sectional areas of the cables. In this study, an efficient metaheuristic algorithm namely, momentum search algorithm (MSA) is used to optimize the design of cable-stayed bridges....

Biclustering is an unsupervised machine learning technique that simultaneously clusters rows and columns in a data matrix. has emerged as important approach plays essential role various applications such bioinformatics, text mining, pattern recognition. However, finding significant biclusters NP-hard problem can be formulated optimization problem. Therefore, different metaheuristics have been a...

although several papers have studied no-idle scheduling problems, they all focus on flow shops, assuming one processor at each working stage. but, companies commonly extend to hybrid flow shops by duplicating machines in parallel in stages. this paper considers the problem of scheduling no-idle hybrid flow shops. a mixed integer linear programming model is first developed to mathematically form...