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: 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 ...

Abstract: In this paper we adjusted recent monarch butterfly optimization algorithm for solving NP-hard wireless sensor networks optimization problem, as one of the most important challenges in this ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

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 ...

Disease name: Epidermolysis bullosa (EB), or "butterfly disease" Affected populations: Butterfly disease is estimated to affect around 1 in 50,000 children, if you count all subtypes of the disease ...