Search · four archives
Search · four archives
9 papers · ranked by Valyu relevance
Shyalan Ramesh, Scott Mann, Alex Stumpf
—Autonomous Underwater vehicles must operate in strong currents, limited acoustic bandwidth, and persistent sensing requirements where conventional swarm optimisation methods are unreliable. This paper formulates an irreversible hydrodynamic deployment problem for Autonomous Underwater Vehicle (AUV) swarms and presents…
Euihyeon Choi, Koki Ho
This paper studies the integrated spacecraft routing and trajectory optimization problem for satellite servicing missions involving partial en-route propellant replenishment. Unlike terrestrial routing problems, spacecraft operate in a dynamic environment, and we need to optimize the spacecraft routing over a network…
Qi Arturo Gonzalez, Yifeng Gao, Li Zhang, Qi Lu
The complete collection of sparse resources in large, unknown environments remains a challenging problem for autonomous robot swarms. Previous studies have shown that a substantial portion of total mission time is consumed during the final stage of collection, where only a small fraction of randomly scattered resources…
Maurizio Balistreri, Konrad Szocik
With the increasing feasibility of space colonization, the issue of reproduction in space is becoming more relevant. As new settlements on the Moon, Mars, and other celestial bodies emerge, ensuring generational continuity will be essential for the survival and growth of these communities. The challenges of space…
Sean Cowan, Ron Noomen
This work aims to automate the design of Multiple Gravity-Assist (MGA) transfers between planets using low-thrust propulsion. In particular, during the preliminary design phase of space missions, the combinatorial complexity of MGA sequencing is very large, and current optimization approaches require extensive…
Authors not listed
Generating novel, drug-like molecules with realistic synthetic pathways is an essential goal in computer-aided drug discovery, yet generative models often lack synthesis awareness, resulting in compounds that are difficult or impossible to produce. To overcome this limitation, models must optimize not only molecular…
Shijie Zhai, Tinghua Zhang, Hao Chen, Nicola Pergola
This study was conducted in response to the challenges posed by the heterogeneity of ground station resources and the dynamic nature of tasks in satellite observation missions. To combat these issues, we propose a resource scheduling method based on a dynamic coalition algorithm. The method involves constructing a…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Zahraa Elsayed Mohamed, Walid Dabour
This study proposes a hybrid variant of Elephant Herding Optimization that combines an adaptive clan-updating schedule, Lévy-flight exploration from Cuckoo Search, and elite opposition-based sampling. The design targets three known limitations-premature convergence, imbalance between exploration and exploitation, and…