A Hybrid Metaheuristic Algorithm Using Elitist Chemical Reaction Optimization and Learning from Knowledge Assimilation for Improving Rule-based Classification Models-Reference-Cited by-同舟云学术

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A Hybrid Metaheuristic Algorithm Using Elitist Chemical Reaction Optimization and Learning from Knowledge Assimilation for Improving Rule-based Classification Models

Published:2024 Issue: Volume:235 Page:701-712
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Saha Ramandeep,Pal Somnath

Publisher

Elsevier BV

Reference35 articles.

1. Data Mining Practical Machine Learning Tools and Techniques;Witten,2011

2. Nature inspired optimization and its application to engineering;Nayak;Evolutionary Intelligence,2021

3. Chemical-reaction-inspired metaheuristic for optimization;Lam;IEEE Transactions On Evolutionary Computation,2010

4. Nature-Inspired Computing: Physics and Chemistry-Based Algorithms;Nazmul,2017

5. Elitist chemical reaction optimization for contour-based target recognition in aerial images;Duan;IEEE Transactions on Geoscience and Remote Sensing,2015

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