[HTML][HTML] A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines
The tourism sector represents an opportunity for economic growth in countries with tourism
potential. However, new trends in global tourism require efficiency in tourism supply chain …
potential. However, new trends in global tourism require efficiency in tourism supply chain …
A qualitative systematic review of metaheuristics applied to tension/compression spring design problem: Current situation, recommendations, and research direction
New metaheuristic algorithms have soared over the past ten years. A common practice in
proposing a new algorithm is validating it on several benchmark functions and engineering …
proposing a new algorithm is validating it on several benchmark functions and engineering …
[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 …
[HTML][HTML] Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks
Energy forecasting plays an important role in effective power grid management. The
widespread adoption of emerging technologies and the increased reliance on renewable …
widespread adoption of emerging technologies and the increased reliance on renewable …
Hybrid CNN and XGBoost model tuned by modified arithmetic optimization algorithm for COVID-19 early diagnostics from X-ray images
Develo** countries have had numerous obstacles in diagnosing the COVID-19 worldwide
pandemic since its emergence. One of the most important ways to control the spread of this …
pandemic since its emergence. One of the most important ways to control the spread of this …
Multi-step crude oil price prediction based on lstm approach tuned by salp swarm algorithm with disputation operator
The economic model derived from the supply and demand of crude oil prices is a significant
component that measures economic development and sustainability. Therefore, it is …
component that measures economic development and sustainability. Therefore, it is …
Tuning machine learning models using a group search firefly algorithm for credit card fraud detection
Recent advances in online payment technologies combined with the impact of the COVID-
19 global pandemic has led to a significant escalation in the number of online transactions …
19 global pandemic has led to a significant escalation in the number of online transactions …
Intrusion detection in healthcare 4.0 internet of things systems via metaheuristics optimized machine learning
Rapid developments in Internet of Things (IoT) systems have led to a wide integration of
such systems into everyday life. Systems for active real-time monitoring are especially useful …
such systems into everyday life. Systems for active real-time monitoring are especially useful …
Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
Metaheuristic-based hyperparameter tuning for recurrent deep learning: application to the prediction of solar energy generation
As solar energy generation has become more and more important for the economies of
numerous countries in the last couple of decades, it is highly important to build accurate …
numerous countries in the last couple of decades, it is highly important to build accurate …