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Particle swarm optimization algorithm and its applications: a systematic review
AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
Grasshopper optimization algorithm: theory, variants, and applications
Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …
Fick's Law Algorithm: A physical law-based algorithm for numerical optimization
Recently, many metaheuristic optimization algorithms have been developed to address real-
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
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 …
Chaotic marine predators algorithm for global optimization of real-world engineering problems
A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …
investigated for the optimization of engineering problems. CMPA integrates the exploration …
A survey of learning-based intelligent optimization algorithms
A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …
extensively researched in the past few decades, through the study of natural creatures, and …
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis …
Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …
both industry and industry. Many optimization algorithms have been employed to address …
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Many fields such as data science, data mining suffered from the rapid growth of data volume
and high data dimensionality. The main problems which are faced by these fields include …
and high data dimensionality. The main problems which are faced by these fields include …
Modified firefly algorithm for workflow scheduling in cloud-edge environment
Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …
Things. This technology brings computing resources closer to the location where they are …
Henry gas solubility optimization: A novel physics-based algorithm
Several metaheuristic optimization algorithms have been developed to solve the real-world
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …