A review on representative swarm intelligence algorithms for solving optimization problems: Applications and trends
J Tang, G Liu, Q Pan - IEEE/CAA Journal of Automatica Sinica, 2021 - ieeexplore.ieee.org
Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is
increasing popularity in resolving different optimization problems and has been widely …
increasing popularity in resolving different optimization problems and has been widely …
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 …
Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems
This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm
(SOA) for solving computationally expensive problems. The main inspiration of this algorithm …
(SOA) for solving computationally expensive problems. The main inspiration of this algorithm …
A survey on new generation metaheuristic algorithms
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …
the solution of intractable optimization problems. Major advances have been made since the …
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 …
War strategy optimization algorithm: a new effective metaheuristic algorithm for global optimization
This paper proposes a new metaheuristic optimization algorithm based on ancient war
strategy. The proposed War Strategy Optimization (WSO) is based on the strategic …
strategy. The proposed War Strategy Optimization (WSO) is based on the strategic …
A survey on optimization metaheuristics
Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …
Emperor penguin optimizer: a bio-inspired algorithm for engineering problems
This paper proposes a novel optimization algorithm, called Emperor Penguin Optimizer
(EPO), which mimics the huddling behavior of emperor penguins (Aptenodytes forsteri). The …
(EPO), which mimics the huddling behavior of emperor penguins (Aptenodytes forsteri). The …
Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review
This review paper deliberates the important works on the modelling and parameters
estimation of photovoltaic (PV) cells for PV simulation. It provides the concepts, features, and …
estimation of photovoltaic (PV) cells for PV simulation. It provides the concepts, features, and …
Bio inspired computing–a review of algorithms and scope of applications
AK Kar - Expert Systems with Applications, 2016 - Elsevier
With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …