Bridges are one of the fundamental infrastructure assets that are vital for economic growth
and public welfare. Over the past few decades, the numbers of deteriorating bridges have …

For the first time, the ensemble feature selection is modeled as a Multi-Criteria Decision-
Making (MCDM) process in this paper. For this purpose, we used the VIKOR method as a …

Abstract The Elman neural network (ElmanNN) is well-known for its capability of processing
dynamic information, which has led to successful applications in stock forecasting. In this …

This paper proposed a Multi-Criteria Decision-Making (MCDM) modeling to deal with multi-
target regression problem. This model offered a feature ranking approach for multi-target …

Most existing dominance relations give higher priority to convergence than diversity and
cannot offer reasonable selection pressure according to the evolution status. This easily …

Evaluation and benchmarking of many-objective optimization (MaOO) methods are
complicated. The rapid development of new optimization algorithms for solving problems …

Multimodal multi-objective problems (MMOPs) arise frequently in the real world, in which
multiple Pareto optimal solution (PS) sets correspond to the same objective set. Traditional …

For multi-objective optimization problems with irregular Pareto Fronts, most widely used
decomposition methods in MOEA/D (multi-objective evolutionary algorithms based on …

Cloud manufacturing service selection and scheduling (CMSSS) problem has obtained wide
attentions in recent years. However, most existing methods describe this problem as single …

The workflow scheduling problem considered difficult in the Cloud becomes even more
challenging when multiple scheduling criteria are used for optimization. It is much harder to …