Aiming at the problem that the application of Particle Swarm Optimization (PSO) algorithm leads to the decline of geomagnetic matching accuracy, stability and convergence speed, an Iterated Local ...

Abstract: Particle swarm optimization (PSO) is a type of swarm intelligence algorithm that is frequently used to resolve specific global optimization problems due to its rapid convergence and ease of ...

1. We have improved the inertial weight and learning factors in conventional particle swarm optimization algorithms through dynamic adjustment mechanisms to enhance global search capability. 2. The ...

The Simulated Bifurcation (SB) algorithm is a fast and highly parallelizable state-of-the-art algorithm for quadratic combinatorial optimization inspired by quantum physics and spins dynamics. It ...

including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model based algorithm. Most of them are ...

However, the integration of optimization algorithms and computer software has significantly reduced the research and development cycle. The internal structure of traditional straight-beam-rib wings is ...

School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, P. R. China ...