MS3A: Wrapper-Based Feature Selection with Multi-swarm Salp Search Optimization

Rajmohan Shathanaa; S. R. Sreeja; Elakkiya Elango

doi:10.1007/978-981-99-0981-0_38

ScienceGate Book Chapters

BOOK-CHAPTER

MS3A: Wrapper-Based Feature Selection with Multi-swarm Salp Search Optimization

Rajmohan Shathanaa S. R. Sreeja Elakkiya Elango

Year: 2023 Lecture notes in networks and systems Pages: 495-509 Publisher: Springer International Publishing

DOI: 10.1007/978-981-99-0981-0_38

Get Full-Text PDF Get Analytical Report

Keywords:

Feature selection Feature (linguistics) Swarm behaviour Computer science Artificial intelligence Selection (genetic algorithm) Pattern recognition (psychology) Set (abstract data type) Cluster analysis Metaheuristic Data mining Algorithm

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.17

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Control Systems Optimization

Physical Sciences → Engineering → Control and Systems Engineering

MS3A: Wrapper-Based Feature Selection with Multi-swarm Salp Search Optimization

Metrics

Topics

Related Documents

Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection

Feature selection via a multi-swarm salp swarm algorithm

Improved salp swarm algorithm based on particle swarm optimization for feature selection

Using Hybrid Filter-Wrapper Feature Selection With Multi-Objective Improved-Salp Optimization for Crack Severity Recognition

Using Hybrid Filter-Wrapper Feature Selection With Multi-Objective Improved-Salp Optimization for Crack Severity Recognition