Advances in tree seed algorithm: A comprehensive survey
FS Gharehchopogh - Archives of Computational Methods in Engineering, 2022 - Springer
In recent years, significant research has been done to solve optimization and complex
problems by metaheuristic algorithms. Metaheuristic algorithms are inspired by the …
problems by metaheuristic algorithms. Metaheuristic algorithms are inspired by the …
Crayfish optimization algorithm
H Jia, H Rao, C Wen, S Mirjalili - Artificial Intelligence Review, 2023 - Springer
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …
Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems
Y Zhang, Z Jin - Expert Systems with Applications, 2020 - Elsevier
In last 30 years, many metaheuristic algorithms have been developed to solve optimization
problems. However, most existing metaheuristic algorithms have extra control parameters …
problems. However, most existing metaheuristic algorithms have extra control parameters …
An improved reptile search algorithm with ghost opposition-based learning for global optimization problems
In 2021, a meta-heuristic algorithm, Reptile Search Algorithm (RSA), was proposed. RSA
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …
Modified sand cat swarm optimization algorithm for solving constrained engineering optimization problems
The sand cat swarm optimization algorithm (SCSO) is a recently proposed metaheuristic
optimization algorithm. It stimulates the hunting behavior of the sand cat, which attacks or …
optimization algorithm. It stimulates the hunting behavior of the sand cat, which attacks or …
Solving high-dimensional global optimization problems using an improved sine cosine algorithm
W Long, T Wu, X Liang, S Xu - Expert systems with applications, 2019 - Elsevier
The sine cosine algorithm (SCA) is a relatively novel population-based optimization
technique that has been proven competitive with other algorithms and it has received …
technique that has been proven competitive with other algorithms and it has received …
Modified beluga whale optimization with multi-strategies for solving engineering problems
The beluga whale optimization (BWO) algorithm is a recently proposed metaheuristic
optimization algorithm that simulates three behaviors: beluga whales interacting in pairs to …
optimization algorithm that simulates three behaviors: beluga whales interacting in pairs to …
A modified self-adaptive marine predators algorithm: framework and engineering applications
Q Fan, H Huang, Q Chen, L Yao, K Yang… - Engineering with …, 2022 - Springer
The application of metaheuristic algorithms is one of the most promising approaches for
solving real-world problems. The marine predators algorithm (MPA) is a recently proposed …
solving real-world problems. The marine predators algorithm (MPA) is a recently proposed …
Dynamic sine cosine algorithm for large-scale global optimization problems
Y Li, Y Zhao, J Liu - Expert Systems with Applications, 2021 - Elsevier
The sine cosine algorithm (SCA) is a recently proposed swarm intelligence optimization
based on sine and cosine mathematical functions. It has a novel principle to process global …
based on sine and cosine mathematical functions. It has a novel principle to process global …
Tree-seed algorithm for solving optimal power flow problem in large-scale power systems incorporating validations and comparisons
AA El-Fergany, HM Hasanien - Applied Soft Computing, 2018 - Elsevier
This paper presents a novel application of the tree-seed algorithm (TSA) for solving the
optimal power flow (OPF) problem in large-scale electric power systems. The objective …
optimal power flow (OPF) problem in large-scale electric power systems. The objective …