An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
Metaheuristic algorithms on feature selection: A survey of one decade of research (2009-2019)
Feature selection is a critical and prominent task in machine learning. To reduce the
dimension of the feature set while maintaining the accuracy of the performance is the main …
dimension of the feature set while maintaining the accuracy of the performance is the main …
[HTML][HTML] Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …
in the scientific and industrial communities. In recent years, the number of new metaheuristic …
Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …
selection is harder to perform since most classifications are binary. The feature selection …
Heap-based optimizer inspired by corporate rank hierarchy for global optimization
In an organization, a group of people working for a common goal may not achieve their goal
unless they organize themselves in a hierarchy called Corporate Rank Hierarchy (CRH) …
unless they organize themselves in a hierarchy called Corporate Rank Hierarchy (CRH) …
Political Optimizer: A novel socio-inspired meta-heuristic for global optimization
This paper proposes a novel global optimization algorithm called Political Optimizer (PO),
inspired by the multi-phased process of politics. PO is the mathematical mapping of all the …
inspired by the multi-phased process of politics. PO is the mathematical mapping of all the …
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …
overload of wide range of available metaheuristic-based solution approaches. Since the …
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: A systematic survey
Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …
and complex datasets but have been criticized as a black-box. This downside has recently …
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
Z Liu, P Jiang, J Wang, L Zhang - Expert Systems with Applications, 2021 - Elsevier
Wind energy has attracted considerable attention in the past decades as a low-carbon,
environmentally friendly, and efficient renewable energy. However, the irregularity of wind …
environmentally friendly, and efficient renewable energy. However, the irregularity of wind …