An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
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A Hybrid Metaheuristic for High-Dimensional Constrained Optimization: Applications to Logistics and UAV Path Planning. [PDF]
Li Y, Qin C.
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eEF1G supports translation elongation of meiotic mRNAs in transcriptionally quiescent leptotene and zygotene spermatocytes. Its depletion in germ cells causes meiotic arrest at the zygotene stage, with defective homologous synapsis and unstable recombination intermediates.
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The Quantum Optimization Benchmarking Library. [PDF]
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A Rolling Bearing Fault Diagnosis Method Based on PSO-Optimized FHN Stochastic Resonance. [PDF]
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Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]
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Research on agricultural development issues based on comprehensive optimization strategy. [PDF]
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A barrel theory-based optimization of stochastic PV-DG integration in radial distribution networks under load and solar uncertainties. [PDF]
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Agent-based simulation for multi-resource-constrained scheduling of scattered atypical repetitive projects. [PDF]
Sultan RA, Hamdy K, Essawy YAS.
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Stochastic Optimization: a Review
International Statistical Review, 2002SummaryWe review three leading stochastic optimization methods—simulated annealing, genetic algorithms, and tabu search. In each case we analyze the method, give the exact algorithm, detail advantages and disadvantages, and summarize the literature on optimal values of the inputs. As a motivating example we describe the solution—using Bayesian decision
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