This paper proposes a novel hybrid algorithm, named Multi-Strategy Hybrid Harris Hawks
Tunicate Swarm Optimization Algorithm (MSHHOTSA). The primary objective of MSHHOTSA …

The Harris hawks optimization (HHO) algorithm is a new swarm-based natural heuristic
algorithm that has previously shown excellent performance. However, HHO still has some …

One of the most popular population‐based metaheuristic algorithms is Harris hawks
optimization (HHO), which imitates the hunting mechanisms of Harris hawks in nature …

Jaya algorithm (JA) is a single-step metaheuristic optimization technique that is free from
algorithm-specific parameters. Regardless of its simplicity, JA proved its effective …

Harris hawks optimization has been a popular swarm intelligence algorithm in recent years.
In order to improve the local exploitation ability of the algorithm and improve the problem of …

Aiming at the shortcomings of the Harris hawks optimization algorithm (HHO), such as poor
initial population diversity, slow convergence speed, poor local optimization ability, and …

Aiming at the problems such as slow search speed, low optimization accuracy, and
premature convergence of standard seagull optimization algorithm, an enhanced hybrid …

Aiming at the shortcomings of Harris Hawks Optimization (HHO) algorithm, such as low
convergence accuracy, low convergence speed and being easy to fall into local optimum, a …

Harris hawks optimization (HHO) is a new swarm intelligence optimization technique.
Because of its simple structure and easy to implement, HHO has attracted research interest …

Harris hawks optimization (HHO) is a new meta-heuristic algorithm that builds a model by
imitating the predation process of Harris hawks. In order to solve the problems of poor …