Harmony search: Current studies and uses on healthcare systems
MT Abdulkhaleq, TA Rashid, A Alsadoon… - Artificial Intelligence in …, 2022 - Elsevier
One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been
verified that HS can find solutions to optimization problems due to its balanced exploratory …
verified that HS can find solutions to optimization problems due to its balanced exploratory …
Protection coordination of properly sized and placed distributed generations–methods, applications and future scope
S Katyara, L Staszewski, Z Leonowicz - Energies, 2018 - mdpi.com
The radial distribution networks are designed for unidirectional power flows and are passive
in nature. However, with the penetration of Distributed Generation (DG), the power flow …
in nature. However, with the penetration of Distributed Generation (DG), the power flow …
Crisscross optimization algorithm and its application
A Meng, Y Chen, H Yin, S Chen - Knowledge-Based Systems, 2014 - Elsevier
How to improve the global search ability without significantly impairing the convergence
speed is still a big challenge for most of the meta-heuristic optimization algorithms. In this …
speed is still a big challenge for most of the meta-heuristic optimization algorithms. In this …
A multi-agent architecture for the design of hierarchical interval type-2 beta fuzzy system
This paper presents a new methodology for building and evolving hierarchical fuzzy
systems. For the system design, a tree-based encoding method is adopted to hierarchically …
systems. For the system design, a tree-based encoding method is adopted to hierarchically …
Multi-agent architecture for Multi‐objective optimization of Flexible Neural Tree
In this paper, a multi-agent system is introduced to parallelize the Flexible Beta Basis
Function Neural Network (FBBFNT)'training as a response to the time cost challenge …
Function Neural Network (FBBFNT)'training as a response to the time cost challenge …
Hierarchical fuzzy design by a multi-objective evolutionary hybrid approach
This paper presents a new tree hierarchical representation of type-2 fuzzy systems. The
proposed system is called the type-2 hierarchical flexible beta fuzzy system (T2HFBFS) and …
proposed system is called the type-2 hierarchical flexible beta fuzzy system (T2HFBFS) and …
Universal approximation propriety of flexible beta basis function neural tree
In this paper, the universal approximation propriety is proved for the Flexible Beta Basis
Function Neural Tree (FBBFNT) model. This model is a tree-encoding method for designing …
Function Neural Tree (FBBFNT) model. This model is a tree-encoding method for designing …
Fuzzy modeling system based on hybrid evolutionary approach
In this paper, we introduce a new evolutionary methodology to design fuzzy inference
systems. An innovative hybrid stages of learning method and tuning method, contains …
systems. An innovative hybrid stages of learning method and tuning method, contains …
PSO-based update memory for Improved Harmony Search algorithm to the evolution of FBBFNT'parameters
In this paper, a PSO-based update memory for Improved Harmony Search (PSOUM-IHS)
algorithm is proposed to learn the parameters of Flexible Beta Basis Function Neural Tree …
algorithm is proposed to learn the parameters of Flexible Beta Basis Function Neural Tree …
Evolutionary hierarchical fuzzy modeling of interval type-2 beta fuzzy systems
The automated evolutionary design of an optimal hierarchical fuzzy system combined with
the use of Interval Type-2 Fuzzy Systems and the Beta basis function is considered in this …
the use of Interval Type-2 Fuzzy Systems and the Beta basis function is considered in this …