Moth–flame optimization algorithm: variants and applications
This paper thoroughly presents a comprehensive review of the so-called moth–flame
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …
A comprehensive review of bat inspired algorithm: Variants, applications, and hybridization
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …
dealing with various optimization problems in diverse fields, such as power and energy …
Harris hawks optimization algorithm: variants and applications
This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
A systematic review on harmony search algorithm: theory, literature, and applications
Harmony search algorithm is the recently developed metaheuristic in the last decade. It
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …
Optimal parameter estimation of 1-phase and 3-phase transmission line for various bundle conductor's using modified whale optimization algorithm
The overhead power line transmits and distributes electricity across large regions it has
several conductors on poles. Power system stability analysis and state estimates need a …
several conductors on poles. Power system stability analysis and state estimates need a …
Application of the novel harmony search optimization algorithm for DBSCAN clustering
Q Zhu, X Tang, A Elahi - Expert Systems with Applications, 2021 - Elsevier
At present, the DBSCAN clustering algorithm has been commonly used principally due to its
ability in discovering clusters with arbitrary shapes. When the cluster number K is …
ability in discovering clusters with arbitrary shapes. When the cluster number K is …
An improved binary quantum-behaved particle swarm optimization algorithm for knapsack problems
The 0-1 knapsack problem is a typical NP-hard combinatorial optimization problem that is
difficult to solve efficiently based on traditional optimization approaches. Binary quantum …
difficult to solve efficiently based on traditional optimization approaches. Binary quantum …
Comprehensive review of the development of the harmony search algorithm and its applications
This paper presents a comprehensive overview of the development of the harmony search
(HS) algorithm and its applications. HS is a well-known human-based meta-heuristic …
(HS) algorithm and its applications. HS is a well-known human-based meta-heuristic …
Nonlinear black-box system identification through coevolutionary algorithms and radial basis function artificial neural networks
The present work deals with the application of coevolutionary algorithms and artificial neural
networks to perform input selection and related parameter estimation for nonlinear black-box …
networks to perform input selection and related parameter estimation for nonlinear black-box …
New binary bat algorithm for solving 0–1 knapsack problem
RM Rizk-Allah, AE Hassanien - Complex & Intelligent Systems, 2018 - Springer
This paper presents a novel binary bat algorithm (NBBA) to solve 0–1 knapsack problems.
The proposed algorithm combines two important phases: binary bat algorithm (BBA) and …
The proposed algorithm combines two important phases: binary bat algorithm (BBA) and …