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: 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 ...

Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...

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 ...

Abstract: Aiming at the problems of traditional butterfly optimization algorithm which is easy to fall into local optimum and slow convergence speed, an improved butterfly optimization algorithm ...