A novel binary Kepler optimization algorithm for 0–1 knapsack problems: Methods and applications-Reference-Cited by-同舟云学术

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A novel binary Kepler optimization algorithm for 0–1 knapsack problems: Methods and applications

Published:2023-11 Issue: Volume:82 Page:358-376
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Abdel-Basset Mohamed,Mohamed Reda,Hezam Ibrahim M.,Sallam Karam M.^ORCID,Alshamrani Ahmad M.^ORCID,Hameed Ibrahim A.^ORCID

Funder

King Saud University

Publisher

Elsevier BV

Subject

General Engineering

Reference40 articles.

1. Binary Aquila Optimizer for 0–1 knapsack problems;Baş;Eng. Appl. Artif. Intel.,2023

2. Optimizing the DNA fragment assembly using metaheuristic-based overlap layout consensus approach;Halim;Appl. Soft Comput.,2020

3. Binary light spectrum optimizer for knapsack problems: An improved model;Abdel-Basset;Alex. Eng. J.,2023

4. M. Banaie-Dezfouli, M.H. Nadimi-Shahraki, and Z. Beheshti, BE-GWO: Binary extremum-based grey wolf optimizer for discrete optimization problems. Applied Soft Computing, 2023: p. 110583.

5. A Novel Binary Artificial Jellyfish Search Algorithm for Solving 0–1 Knapsack Problems;Yildizdan;Neural Process. Lett.,2023

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2. ADC-RBK: a multimodal approach for early detection of chronic diseases and focusing on Alzheimer’s;Progress in Artificial Intelligence;2024-07-30

3. Development of a Novel Hybrid Salp Swarm-Kepler Algorithm for Engineering Problems: Optimizing Microgrid Sizing with Integration of Photovoltaic, Wind, Battery, and Supercapacitor Systems;2024-07-22

4. Binary metaheuristic algorithms for 0–1 knapsack problems: Performance analysis, hybrid variants, and real-world application;Journal of King Saud University - Computer and Information Sciences;2024-07

5. Enhanced crop health monitoring: attention convolutional stacked recurrent networks and binary Kepler search for early detection of paddy crop issues;Environmental Monitoring and Assessment;2024-05-20

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