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 …
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 …
Snake Optimizer: A novel meta-heuristic optimization algorithm
FA Hashim, AG Hussien - Knowledge-Based Systems, 2022 - Elsevier
In recent years, several metaheuristic algorithms have been introduced in engineering and
scientific fields to address real-life optimization problems. In this study, a novel nature …
scientific fields to address real-life optimization problems. In this study, a novel nature …
Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications
W Zhao, Z Zhang, L Wang - Engineering Applications of Artificial …, 2020 - Elsevier
A new bio-inspired optimization technique, named Manta Ray Foraging Optimization
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …
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 …
Recent advances in harris hawks optimization: A comparative study and applications
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
A novel atom search optimization for dispersion coefficient estimation in groundwater
W Zhao, L Wang, Z Zhang - Future Generation Computer Systems, 2019 - Elsevier
A new type of meta-heuristic global optimization methodology based on atom dynamics is
introduced. The proposed Atom Search Optimization (ASO) approach is a population-based …
introduced. The proposed Atom Search Optimization (ASO) approach is a population-based …
Supply-demand-based optimization: A novel economics-inspired algorithm for global optimization
W Zhao, L Wang, Z Zhang - Ieee Access, 2019 - ieeexplore.ieee.org
A novel metaheuristic optimization algorithm, named supply-demand-based optimization
(SDO), is presented in this paper. SDO is a swarm-based optimizer motivated by the supply …
(SDO), is presented in this paper. SDO is a swarm-based optimizer motivated by the supply …
Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology
The paper proposes a novel metaheuristic Socio Evolution & Learning Optimization
Algorithm (SELO) inspired by the social learning behaviour of humans organized as families …
Algorithm (SELO) inspired by the social learning behaviour of humans organized as families …
EJS: Multi-strategy enhanced jellyfish search algorithm for engineering applications
G Hu, J Wang, M Li, AG Hussien, M Abbas - Mathematics, 2023 - mdpi.com
The jellyfish search (JS) algorithm impersonates the foraging behavior of jellyfish in the
ocean. It is a newly developed metaheuristic algorithm that solves complex and real-world …
ocean. It is a newly developed metaheuristic algorithm that solves complex and real-world …