15 papers · ranked by Valyu relevance
Ran Zhang, Xiaohan Li, Caihua Wan, Raik Hoffmann + 14 more
Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance efficiency and solution quality at scale. We present a probabilistic framework that embeds true random number generators…
Mengqi Zhang, Guangqiang Teng, Xiaoyu Lei, Boris Ryabko
Lei proposed an algorithm Algorithm $A_{3}$ in 2023 to generate an exact discrete uniform distribution from an unknown biased Bernoulli source. The present paper does not claim a new extraction algorithm. Its contributions are analytical: first, we provide a Fourier-analytic proof of the uniformity mechanism based on…
Loric Stuby, Christophe A. Fehlmann, Salita Bellotti, Dominique Jaccard + 4 more
Several limitations should be acknowledged. First, while the simulation model provided a controlled testing environment, it does not fully replicate the complexities of real-world MCIs, where factors like environmental hazards, patient movement, and rescuer stress can significantly influence triage decisions. Second…
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…
Marcelo Becerra-Rozas, Bady Gana, José Lara, Andres Leiva-Araos + 8 more
Optimal surgical scheduling necessitates a strategic balance between elective efficiency and responsiveness to stochastic emergency arrivals. This study evaluates a Genetic Algorithm alongside discretized variants of Particle Swarm Optimization, the Secretary Bird Optimization Algorithm, and the Mantis Shrimp…
Brianna M. Liberio, Gregory M. Sokol, Hannah Rakow, Kelly Mosesso + 4 more
Despite aggressive parenteral and enteral nutrition, suboptimal extrauterine growth remains a significant concern in infants who are preterm.1 Strong associations have been identified between in-hospital growth and impaired short- and long-term neurodevelopment.2-4 It is imperative that other nutritional strategies…
Emre Efendi, Berkan Dulek, Sinan Gezici, Yanglei Song + 5 more
In this review paper, we present a framework for the characterization of optimal decision rules in M-ary hypothesis-testing problems where the performance metric is defined as a function of pairwise error probabilities. This framework is based on the approaches developed in several recent studies in the literature…
Ziyue Wang, Weikang Fang, Yichen Yang, Yanbin Zhang + 1 more
With the continuous development of semiconductor manufacturing technology and information technology, the sizes of wafer chips are becoming smaller and the variety is increasing, which has put forward high requirements for wafer chip precision manufacturing and packaging workshops. On the one hand, the market demand…
Alistair Benford, Per Kristian Lehre
Due to their complex dynamics, combinatorial games are a key test case and application for algorithms that train game playing agents. Among those algorithms that train using self-play are coevolutionary algorithms (CoEAs). However, the successful application of CoEAs for game playing is difficult due to pathological…
Mohammad Abdur Rob, Md. Zakir Hossen, Md. Kamal Hossen, Md. Mithun Ali + 2 more
Sorting algorithms play a crucial role in computing, but most are designed with rigid structure that are only efficient under certain conditions. Although some sorting algorithms perform well in some circumstances, they do not perform well on some resistant platforms. This study introduces Wall-L Merge Sort, which…
Ahmad Eid, Abdulrahman Alsafrani
Numerous optimization techniques have recently been employed in the literature to enhance various electric power systems. Optimization algorithms help system operators determine the optimal location and capacity of any renewable energy source (RES) connected to a system, enabling them to achieve a specific goal and…
Shuangyuan Shi, Chang Liu, Lvjiang Yin, Hegen Xiong + 3 more
While the static integrated process planning and scheduling (IPPS) problem is theoretically well-established, its practical application is limited in unpredictable manufacturing environments demanding dynamic adaptability. This paper proposes a dynamic IPPS problem considering stochastic rework (IPPS-SR), whose…
Ken Kurisu, Yosuke Uchitomi, Naomi Sakurai, Maiko Fujimori + 7 more
Background The effectiveness of peer support for breast cancer survivors has varied substantially, and no previous study has examined patient-supporter matching. This study protocol describes a decentralized, multicenter, open-label pilot randomized controlled trial designed to explore the effectiveness of online peer…
Mashar Cenk Gençal, Barış Ata, Mehmet Kurucan, Emre Kılınç
Urban environments impose complex challenges for the navigation of unmanned aerial vehicles (UAVs), including dense obstacles, no-fly zones, energy constraints, and regulatory restrictions. Addressing these challenges requires efficient and robust optimization techniques. This study introduces the Improved Roosters…
Alexandru Dinu, Yong Deng
Shannon entropy is the most common measure that one could use to check if a data source has random behaviour or not. A value close to the maximum is usually considered as evidence that the source is “random enough”. The present paper shows that this criterion alone is not enough. A deterministic logistic map driven at…