# Literature Review on Hybrid Evolutionary Approaches for Feature Selection
## 1 Introduction
\begin{table}
\begin{tabular}{p{142.3 pt} p{142.3 pt}} \hline \hline \multicolumn{2}{p{142.3 pt}}{**Searching Techniques**} \\ \hline ABC & Artificial Bee Colony Algorithm \\ \hline ACO & Ant Colony Optimization \\ \hline AFSA & Artificial Fish-Swarm Algorithm \\ \hline AJA & Adaptive Jaya Algorithm \\ \hline ALO & Ant Lion Optimization \\ \hline Ant–Cuckoo & Ant Colony Optimization-Cuckoo Search \\ \hline ASO & Atom Search Optimization \\ \hline BALO & Binary Ant Lion Optimization \\ \hline BBBC & Big Bang Big Crunch \\ \hline BGWO & Binary Grey Wolf Optimization \\ \hline BGWOPSO & Binary Grey Wolf Optimization-Particle Swarm Optimization \\ \hline BHHO & Binary Harris Hawks Optimization \\ \hline BPSO & Binary Particle Swarm Optimization \\ \hline BSA & Backtracking Optimization Search Algorithm \\ \hline BSO & Brain Storm Optimization \\ \hline BTLBO & Binary Teaching Learning-Based Optimization \\ \hline CFO & Central Force Optimization \\ \hline ChOA & Chimp Optimization Algorithm \\ \hline CRO & Chemical Reaction Optimization \\ \hline CS & Cuckoo Search \\ \hline CSA & Crow Search Algorithm \\ \hline CSO & Curved Space Optimization \\ \hline CSS & Charged System Search \\ \hline DA & Dragon Algorithm \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Acronyms of the reviewed FS methods and respective evaluation metrics. \begin{table}
\begin{tabular}{l l} \hline DE & Differential Evolution \\ \hline DPO & Dolphin Partner Optimization \\ \hline DSA & Differential Search Algorithm \\ \hline FA & Firefly Algorithm \\ \hline FLA & Frog Leaping Algorithm \\ \hline FSJaya & FS-Based on Java optimization \\ \hline GA & Genetic Algorithm \\ \hline GOA & Grasshopper Optimization Algorithm \\ \hline GSA & Gravitational Search Algorithm \\ \hline GSO & Group Search Optimizer \\ \hline GWO & Grey Wolf Optimization \\ \hline HBBEPSO & Hybrid Binary Bat Enhanced Particle Swarm Optimization Algorithm \\ \hline IBHHO & Improved Binary Harris Hawks Optimization \\ \hline HBO & Heap-Based Optimizer \\ \hline HBPSOSCA & Hybrid Binary Particle Swarm Optimization and Sine Cosine Algorithm \\ \hline HHO & Harris Hawk Optimization \\ \hline HS & Harmony Search \\ \hline ISA & Interior Search Algorithm \\ \hline JA & Java Algorithm \\ \hline KHA & Krill Herd Algorithm \\ \hline LCA & League Championship Algorithm \\ \hline MA & Monkey Algorithm \\ \hline MAKHA & Monkey–Krill Herd Algorithm \\ \hline MBA & Mine Blast Algorithm \\ \hline MFO & Moth–Flame Optimization \\ \hline MCOHOA & Multiobjective Chimp Optimization \\ \hline MPA & Marine Predators Algorithm \\ \hline MVA & Multiverse Algorithm \\ \hline PSO & Particle Swarm Optimization \\ \hline QE & Queen Bee Evolution \\ \hline RTEA & Ring Theory-Based Evolutionary Algorithm \\ \hline RTHS & Ring Theory-Based Harmony Search \\ \hline SA & Simulated Annealing \\ \hline SBS & Sequential Backward Selection \\ \hline SCA & Sine Cosine Algorithm \\ \hline SDO & Supply–Demand-Based Optimization \\ \hline SFLA & Shuffled Frog Leaping Algorithm \\ \hline SFS & Sequential Forward Selection \\ \hline SHO & Spotted Hyena Optimization \\ \hline SHO-SA & Spotted Hyena Optimization-Simulated Annealing \\ \hline SOA & Seagull Optimization Algorithm \\ \hline \end{tabular}
\end{table} 
Table 1: _Cont._