To improve the performance of the Butterfly Optimization Algorithm, this paper proposes a Multi-Strategies Hybrid Butterfly Cuckoo Optimization Algorithm (MSHBCOA) based on the multi-strategy fusion ...

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 ...

Scientists used tiny new sensors to follow the insects on journeys that take thousands of miles to their winter colonies in Mexico. Scientists used tiny new sensors to follow the insects on journeys ...

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 ...

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 ...

With the improvement in power grid simulation accuracy requirements, the existing typical load model parameters can no longer meet the accuracy requirements and become the short board that restricts ...