Abstract: The butterfly optimization algorithm shows good robustness and global convergence in solving complex functions. However, there are still problems of slow search speed, poor accuracy, and ...

Butterfly optimisation techniques constitute a class of swarm-inspired metaheuristic algorithms that mimic the foraging and mating behaviour of butterflies. At their core, these algorithms assign a ...

Abstract: To address the challenges of Non-Line-of-Sight (NLOS) errors degrading positioning accuracy in Ultra-Wideband (UWB) systems, this paper proposes an improved Monarch Butterfly Algorithm ...

Traditional optimization methods often face the problem of local optima, where the optimization process may get trapped in a local optimum, making it difficult to find the global optimal solution.

ABSTRACT: A hybrid strategy is proposed to solve the problems of poor population diversity, insufficient convergence accuracy and susceptibility to local optimal values in the original Arctic Puffin ...