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: 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 ...