To address the large-scale and time-consuming multiple agile earth observation satellite (multi-AEOS) scheduling problems, this article proposes a data-driven parallel approach, which is composed of probability prediction model, task assignment strategy, manner. In given historical data scheduling, model trained based on cooperative neuro-evolution augmenting topologies (C-NEAT) to predict probabilities that will be fulfilled by different satellites. Driven an strategy adopted for dividing...

Satellite observation scheduling plays a significant role in improving the efficiency of Earth systems. To solve large-scale multisatellite problem, this article proposes an ensemble metaheuristic and exact algorithms based on divide-and-conquer framework (EHE-DCF), including task allocation phase phase. In phase, each is allocated to proper orbit incorporated with probabilistic selection tabu mechanism derived from ant colony optimization search, respectively. we construct model for every...

This article studies a multiagile earth observation satellite system, in which group of satellites provides services to acquire images targets on the earth's surface. In this large-scale multiobjective task scheduling problem is studied by jointly optimizing assignment scheme and window allocation maximize total profit all executed tasks loading balance among satellites. Note, however, that it challenging solve since are tightly coupled. Therefore, bilevel optimization formulated, where...

Abstract Objective Colorectal cancer (CRC), as a highly prevalent malignant tumor globally, faces the dual challenges of drug resistance stem cells and immune escape in its treatment. Although traditional Chinese medicine Yigong San (YGS) shows potential improving clinical adverse reactions CRC, core active components mechanism action remain unclear. Based on network pharmacology screening, this study for first time discovered that Gomisin B might regulate progression CRC through Toll-like...

Osteosarcoma (OS) is one of the most common malignant tumors in adolescents. Due to local invasion, distant metastasis and drug resistance, clinical treatment efficacy prognosis OS have remained almost unchanged for decades. Epigallocatechin-3-gallate (EGCG) a unique catechin from tea leaves, some studies confirmed its antitumour effects on various tumors. Here, cellular experiments showed that EGCG significantly promoted cell apoptosis inhibited proliferation, migration animal demonstrated...

This study considers a satellite orbit design when given set of target sites needs to be visited within an assigned period. Optimization the takes into account properties such as priority and minimum duration observation time. Equations describing are used compute satellite's field view ground track. Scheduling visits targets is carried out by maximizing time over priority-weighted minimizing distance between track position while satisfying constraints with respect revisit requirement. A...

The satellite image downlink scheduling problem (SIDSP) is included in mission planning as an important part. A customer demand finished only if the corresponding images are eventually downloaded. Due to growing demands and limited ground resources, SIDSP oversubscribed problem. In this paper, we investigate with case study of China’s commercial remote sensing constellation (SuperView-1) exploit serial scheme for solving it. idea first determining a permutation requests then producing...

The balancing of civil airspace capacities with customer demands is achieved through air traffic management (ATM), which uses decision support tools in ATM systems that are ensured by advanced communications and contemporary navigation technologies. However, uncertainties perturbations can emerge during low-altitude when considering plans to gradually open up China. Domino effects time space deviations one trajectory may lead the generation other 4-D trajectories (4-D defined based on a...

At present, independent scheduling of Earth-observation resources (EORs) is usually difficult to satisfy diverse observation requirements and cannot realize the full potential space–air resource networks. To utilize EORs comprehensively, this study constructs a divide-and-conquer framework (DCF) for coordinated air space (i.e., satellites unmanned aerial vehicles). The DCF can decompose original problem into task allocation subproblem multiple subproblems that be solved using coordination...

Satellite establishes a satellite ground station to link with complete data transmission. However, in China, stations only exist within the country. With rapid increase number of satellites, effectively dispatching communications and maximizing performance are necessary. We propose heuristic adaptive large neighborhood search algorithm (H-ALNS) solve transmission scheduling (SDTS) problem. The includes two rules for generating initial scheme conflict reduction process after updating...

With the increase in number of satellites and complexity missions performed by satellites, some imaging requests is difficult to finish a single satellite but rely on multiple types satellites.At same time, traditional are deal with conditions such as emergency, environmental uncertainty so on.So study intelligent autonomous great significance.Both these requirements raised new topic that Multi-autonomous Satellite Cooperative Task Planning Problem.This paper focus this problem first designs...

This paper presents a multi-objective satellite scheduling problem for very large areal observation in response to various requests. The objectives are maximize the total profits of generated schedule and high efficiency utilization simultaneously. To address problem, we first demonstrate detailed description then transform into set covering within several criteria constraints. Based on that, mathematical model is established. solve new three-phase solving framework proposed. In discretizing...

The Multi-Agile Earth Observation Satellite Scheduling Problem (MAEOSSP) aims to maximize the observational returns of tasks while satisfying temporal and resource requirements. This problem has gained prominence due increasing complexity task planning scenarios challenges in satellite management control. MAEOSSP typically involves two stages decision-making: allocation single-satellite scheduling. However, its NP-hardness makes traditional methods sensitive instances requires significant...