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 …
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …
techniques into meta-heuristics for solving combinatorial optimization problems. This …
Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
S Zhao, T Zhang, S Ma, M Chen - Engineering Applications of Artificial …, 2022 - Elsevier
This paper proposes a novel swarm intelligence bioinspired optimization algorithm, called
the Dandelion Optimizer (DO), for solving continuous optimization problems. DO simulates …
the Dandelion Optimizer (DO), for solving continuous optimization problems. DO simulates …
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
W Zhao, L Wang, S Mirjalili - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …
proposed in this work to solve optimization problems. The AHA algorithm simulates the …
A global best-guided firefly algorithm for engineering problems
Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
A new optimization method based on COOT bird natural life model
Recently, many intelligent algorithms have been proposed to find the best solution for
complex engineering problems. These algorithms can search volatile and multi-dimensional …
complex engineering problems. These algorithms can search volatile and multi-dimensional …
A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean
This study develops a novel metaheuristic algorithm that is motivated by the behavior of
jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of …
jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of …
Novel meta-heuristic algorithm for feature selection, unconstrained functions and engineering problems
This paper proposes a Sine Cosine hybrid optimization algorithm with Modified Whale
Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA …
Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA …
A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems
In the last few years, the formulation of real-world optimization problems and their efficient
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
A review on COVID-19 forecasting models
Abstract The novel coronavirus (COVID-19) has spread to more than 200 countries
worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such …
worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such …