The fitness function value is a kind of important information in the search process, which can
be more targeted according to the guidance of the fitness function value. Most existing meta …

The seagull optimization algorithm (SOA) is a meta-heuristic algorithm proposed in 2019. It
has the advantages of structural simplicity, few parameters and easy implementation …

Metaheuristic algorithms play a crucial role in engineering optimization, as they can find the
optimal parameter configuration in engineering systems. This article proposes a multi …

This paper presents a new algorithm based on hybridizing the sine cosine algorithm (SCA)
with a multi-orthogonal search strategy (MOSS), named multi-orthogonal sine cosine …

This paper proposes a novel swarm intelligence optimizer inspired by human behavior
called the Special Forces Algorithm (SFA). SFA is inspired by the missions of modern …

In this article, a modified version of the Sine Cosine algorithm (MSCA) is proposed to solve
the optimization problem. Based on the Sine Cosine algorithm (SCA), the position update …

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

Engineering design optimization in real life is a challenging global optimization problem,
and many meta-heuristic algorithms have been proposed to obtain the global best solutions …

As the objective function in complex structural optimization problems is implicit, in the
present improved Newton method using the higher-order approximation, a new and simple …

This paper proposes a new intelligent optimization algorithm named Black Eagle Optimizer
(BEO) based on the biological behaviour of the black eagle. The BEO algorithm combines …