A possibilistic model for production planning with uncertain demand
Sign Up to like & getrecommendations! Published in 2020 at "European Journal of Industrial Engineering"
DOI: 10.1504/ejie.2020.112480
Abstract: This article proposes a possibilistic model of production planning problem of a manufacturing company using a fuzzy representation of uncertainties in demand. An extension of chance constrained to fuzzy environments, and triangular numbers are employed… read more here.
Keywords: planning uncertain; model; possibilistic model; production planning ... See more keywords
Deep Reinforcement Learning Based Trajectory Planning Under Uncertain Constraints
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.883562
Abstract: With the advance in algorithms, deep reinforcement learning (DRL) offers solutions to trajectory planning under uncertain environments. Different from traditional trajectory planning which requires lots of effort to tackle complicated high-dimensional problems, the recently proposed… read more here.
Keywords: trajectory planning; planning uncertain; reinforcement learning; deep reinforcement ... See more keywords