This work presents a self-adaptive quantum EO with artificial bee colony for feature selection, named SQEOABC. In the proposed algorithm, the quantum theory and ...

Jan 2, 2023 · This work presents a self-adaptive quantum EO with artificial bee colony for feature selection, named SQEOABC. In the proposed algorithm, the ...

Jan 5, 2023 · This work presents a self-adaptive quantum EO with artificial bee colony for feature selection, named SQEOABC.

In this work, we propose a self-adaptive quantum EO with artificial bee colony called. SQEOABC for feature selection, based on the hybridization of EO and ABC ...

A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection. February 2023 · Computers in Biology and Medicine.

Apr 12, 2023 · Self-Adaptive Quantum Equilibrium Optimizer with Artificial Bee Colony (SQEOABC) is a new variant of revised and hybridized EO that Zhong. et al ...

This paper studies a multi-label feature selection algorithm using an improved multi-objective particle swarm optimization (PSO)

This paper proposes a novel weighted differential evolution algorithm based on self-adaptive mechanism, named SaWDE, to solve large-scale feature selection.

Zhong, A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection, Comput. Biol. Med., № 153 https://doi.org/10.1016/j ...

Artificial bee colony (ABC) algorithm, inspired by the intelligent foraging behavior of honey bees, was proposed by Karaboga.