Mar 1, 2019 · As a seminal attempt, binary variants of the recent Grasshopper Optimisation Algorithm (GOA) are proposed in this work and employed to select the optimal feature subset …

May 31, 2022 · The binary grasshopper optimization algorithm (BGOA) is used for binary problems. To improve the algorithm’s exploration capability and the solution’s quality, this …

In this paper, a nature-inspired feature selection method is proposed based on the behavior of grasshoppers. Grasshopper optimization algorithm is expressed for continuous problems as …

Mar 1, 2020 · Grasshopper optimization algorithm is expressed for continuous problems as standard. Methods: In this paper, continuous grasshopper optimization algorithm is converted …

A new binary grasshopper optimization algorithm based on time-varying Gaussian transfer functions (BGOA-TVG) is proposed. The BGOA-TVG achieves a balance between its …

May 31, 2022 · This paper presented three improved versions of the binary grasshopper optimization algorithm for feature selection. A new step size variable and three transfer …

Jul 22, 2020 · We survey the available literature on the grasshopper optimization algorithm, including its modifications, hybridizations, and generalization to the binary, chaotic, and multi …

Feb 1, 2022 · This proposed new binary grasshopper optimization algorithm is tested and compared to five well-known swarm-based algorithms used in feature selection problem. All …

Mar 20, 2024 · In this paper, a new binary grasshopper optimization algorithm using time-varying Gaussian transfer functions (BGOA-TVG) is proposed for feature selection.

In this paper, a nature-inspired feature selection method is proposed based on the behavior of grasshoppers. Grasshopper optimization algorithm is expressed for continuous problems as …