A directed acyclic graph representation of routing manufacturing flexibility

Tree search in DAG space with model-based reinforcement learning for causal discovery

“…Notably, DAGs are often used to represent dependencies, e.g. those between tasks that must be scheduled in time-shared concurrent computer systems [64], relationships between software packages [65] or components in a manufacturing pipeline [66]. This eliminates the need to explicitly check for cycles.…”

Tree search in DAG space with model-based reinforcement learning for causal discovery

“…Notably, DAGs are often used to represent dependencies, e.g. those between tasks that must be scheduled in time-shared concurrent computer systems [64], relationships between software packages [65] or components in a manufacturing pipeline [66]. This eliminates the need to explicitly check for cycles.…”

A methodology for schedule‐based paths recommendation in multimodal public transportation networks

“…Gabrel applied a graph transformation to solve a two identical parallel machines scheduling problem. Borenstein used a graph representation to analyze route flexibility in manufacturing, and Dolgui et al . studied a especial case of transfer lines balancing.…”

Keyword extraction and ranking based on crawler and natural language processing

“…③According to the prefix dictionary, the sentence is divided into words, and the directed acyclic graph is constructed. In this paper, we use the method of calculating the optimal path through directed acyclic graph, as described in reference [10], which is one of the common applications of DAG.…”

Tree search in DAG space with model-based reinforcement learning for causal discovery

“…Notably, DAGs are often used to represent dependencies, e.g. those between tasks that must be scheduled in time-shared concurrent computer systems [64], relationships between software packages [65] or components in a manufacturing pipeline [66]. This eliminates the need to explicitly check for cycles.…”

A methodology for schedule‐based paths recommendation in multimodal public transportation networks

“…Gabrel applied a graph transformation to solve a two identical parallel machines scheduling problem. Borenstein used a graph representation to analyze route flexibility in manufacturing, and Dolgui et al . studied a especial case of transfer lines balancing.…”

Keyword extraction and ranking based on crawler and natural language processing

“…③According to the prefix dictionary, the sentence is divided into words, and the directed acyclic graph is constructed. In this paper, we use the method of calculating the optimal path through directed acyclic graph, as described in reference [10], which is one of the common applications of DAG.…”

Tree search in DAG space with model-based reinforcement learning for causal discovery

“…Notably, DAGs are often used to represent dependencies, e.g. those between tasks that must be scheduled in time-shared concurrent computer systems [64], relationships between software packages [65] or components in a manufacturing pipeline [66]. This eliminates the need to explicitly check for cycles.…”

A methodology for schedule‐based paths recommendation in multimodal public transportation networks

“…Gabrel applied a graph transformation to solve a two identical parallel machines scheduling problem. Borenstein used a graph representation to analyze route flexibility in manufacturing, and Dolgui et al . studied a especial case of transfer lines balancing.…”

Keyword extraction and ranking based on crawler and natural language processing

“…③According to the prefix dictionary, the sentence is divided into words, and the directed acyclic graph is constructed. In this paper, we use the method of calculating the optimal path through directed acyclic graph, as described in reference [10], which is one of the common applications of DAG.…”