Adjusting crop calendars may present an effective adaptation measure to avoid crop yield
loss and reduce water use in a changing climate. In order to better understand potentials …

In this paper, we report the results of our investigation of an evolutionary approach for
solving the unequal area multi-objective facility layout problem (FLP) using the variable …

The dynamic facility layout problem considers flow over multiple time periods in an
environment where the material flow between departments changes over time. If this …

A lot of optimal and heuristic algorithms for solving facility layout problem (FLP) have been
developed in the past few decades. The majority of these approaches adopt a problem …

In this paper, we investigate an evolutionary approach to solve the multi-objective dynamic
facility layout problem (FLP) under uncertainty that presents the layout as a set of Pareto …

Hyperparameter optimization in machine learning involves finding the best values for
hyperparameters that control a learning algorithm's predicting abilities. Exhaustively …

Deep vein thrombosis is a serious medical condition requiring prompt and accurate
diagnosis. The identification of thrombosis presents a challenging task characterized by …

Due to industrial automation and the expansion of the manufacturing industry, scheduling
and layout planning are crucial considerations for improving productivity and cost-controlling …

The dynamic facility layout problem (DFLP) is related to location of all facilities of a plant in a
dynamic environment. Most of the existing models for this problem ignore competitive or …

Multi-objective optimization is one of the most important aspects of operational research,
and has been applied widely. Most of the existing research works on multi-objective …