We introduce a novel methodology, namely binary tree population structure-based differential evolution (BTDE), to mitigate these issues. BTDE introduces a binary tree population structure comprising ...

Fault-tree analysis is commonly used for risk assessment of industrial systems. Several computer packages are available to carry out the analysis. Despite its common usage there are associated ...

A binary phase diagram plots the composition, expressed as a percentage of one element against temperature. At any given combination of composition and temperature, the phase of the metal can be ...

A tree diagram is a visual means of representing complex processes or problems in a hierarchical structure. It is made up of nodes and branches, where the nodes represent a problem’s elements and the ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

In this paper, we present algorithmic support for automating the generation of composing diagrams, where the composed diagram satisfies a given collection of external constraints and is optimal with ...