The dynamic uncertain environment and complex tasks determine that the unmanned aerial
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …

Abstract Space mission design places a premium on cost and operational efficiency. The
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Convolutional neural networks (CNNs) have been successfully applied to many recognition
and learning tasks using a universal recipe; training a deep model on a very large dataset of …

The advances of large foundation models necessitate wide-coverage, low-cost, and zero-
contamination benchmarks. Despite continuous exploration of language model evaluations …

Computer science and economics have engaged in a lively interaction over the past fifteen
years, resulting in the new field of algorithmic game theory. Many problems that are central …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

One of the most effective methods for nonlinearly constrained optimization generates steps
by solving quadratic subproblems. This sequential quadratic programming (SQP) approach …

Data mining is the discovery of interesting, unexpected or valuable structures in large
datasets. As such, it has two rather different aspects. One of these concerns large …

A system of interconnected buyers and suppliers is better modeled as a network than as a
linear chain. In this paper we demonstrate how to use social network analysis to investigate …