arXiv subjects

Haopeng Yang

Publications and source records attributed to Haopeng Yang.

3 recordsLinked to original sources

arXiv2026

Real-time optimal delay minimization algorithms for aircraft on a same runway and dual runways

In this paper, scheduling problems of aircraft minimizing the total delays on a same runway and on dual runways are studied. In contrast to the algorithms based on mixed-integer optimization models in existing works, where the optimality and the real-time performance are usually unable to be dealt with at the same time, our work focuses on the interaction mechanism between aircraft coupling with delays and two real-time optimal algorithms are proposed for the four scheduling problems by fully exploiting the combinations of different classes of aircraft based on parallel computing technology. When $100$ aircraft on dual runways is considered, by using the algorithm in this paper, the optimal solution can be obtained within less than $10$ seconds, while by using the CPLEX software to solve the mix-integer optimization model, the optimal solution cannot be obtained within $1$ hour.

math.OC↗

arXiv2025

Scheduling problems of aircraft on a same runway and dual runways

In this paper, the scheduling problems of landing and takeoff aircraft on a same runway and on dual runways are addressed. In contrast to the approaches based on mixed-integer optimization models in existing works, our approach focuses on the minimum separation times between aircraft by introducing some necessary assumptions and new concepts including relevance, breakpoint aircraft, path and class-monotonically-decreasing sequence. Four scheduling problems are discussed including landing scheduling problem, takeoff scheduling problem, and mixed landing and takeoff scheduling problems on a same runway and on dual runways with the consideration of conversions between different aircraft sequences in typical scenarios. Two real-time optimal algorithms are proposed for the four scheduling problems by fully exploiting the combinations of different classes of aircraft, and necessary definitions, lemmas and theorems are presented for the optimal convergence of the algorithms. Numerical examples are presented to show the effectiveness of the proposed algorithms. In particular, when 100 aircraft are considered, by using the algorithm in this paper, the optimal solution can be obtained in less than 5 seconds, while by using the CPLEX software to solve the mix-integer optimization model, the optimal solution cannot be obtained within 1 hour.

math.OC↗

arXiv2024

SynAsk: Unleashing the Power of Large Language Models in Organic Synthesis

The field of natural language processing (NLP) has witnessed a transformative shift with the emergence of large language models (LLMs), revolutionizing various language tasks and applications, and the integration of LLM into specialized domains enhances their capabilities for domain-specific applications. Notably, NLP has made significant strides in organic chemistry, particularly in predicting synthetic tasks, paving the way for the development of LLMs tailored to the organic chemistry field. In this work, we introduce SynAsk, a comprehensive organic chemistry domain-specific LLM platform developed by AIChemEco Inc. By finetuning an LLM with domain-specific data and integrating it with a chain of thought approach, SynAsk seamlessly accesses our knowledge base and advanced chemistry tools in a question-and-answer format. This includes functionalities such as a basic chemistry knowledge base, molecular information retrieval, reaction performance prediction, retrosynthesis prediction, chemical literature acquisition, and more. This novel methodology synergizes fine-tuning techniques with external resource integration, resulting in an organic chemistry-specific model poised to facilitate research and discovery in the field. Accessible via http://synask.aichemeco.com, SynAsk represents a significant advancement in leveraging NLP for synthetic applications.

physics.chem-ph↗