Agent-based simulation for multi-resource-constrained scheduling of scattered atypical repetitive projects. [PDF]
Sultan RA, Hamdy K, Essawy YAS.
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A “de‐doping” strategy positions mixed protonic–electronic conductors (MPECs) as adaptive neuromorphic platforms with dynamically tunable transport. Co‐BAND achieves giant conductivity modulation (>106) and chemically tunable synaptic plasticity. Analogous to biological neuromodulation, solvent vapors dynamically reprogram the device's learning rules ...
Kwangmin Park +10 more
wiley +1 more source
Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework. [PDF]
Qi L, Lv C, Zhang T, Wang Y.
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Inspired by Nostoc, a crack‐based one‐dimensional microspheres array (COMA) sensor is developed, which stabilizes crack geometry under isotropic expansion, enabling a predictable, monotonic thermal response from which true strain can be accurately extracted. The COMA sensor exhibits high sensitivity at ultralow deformation (gauge factor up to 89) and a
Wanqing Xu +7 more
wiley +1 more source
Spin-Adapted Restricted Open-Shell Hartree-Fock and Its Dynamic Correlation Extension. [PDF]
Song M +4 more
europepmc +1 more source
Urgent samples in clinical laboratories: stochastic batching to minimize patient turnaround time. [PDF]
Novak A, Gnatowski A, Sucha P.
europepmc +1 more source
Multi-strategy enhanced orchard algorithm for optimal integration of renewable energy sources and EV charging stations in microgrids. [PDF]
V K, Thirumalaisamy SK, M M, P N R.
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Spatiotemporal bidding for multi-energy systems with photovoltaic dominance: a scenario-based Stackelberg-Nash game formulation. [PDF]
Qiao H, Wen S, Zhang Y, Zhang J, Li K.
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An optimization scheduling model of multi-energy virtual power plants considering uncertainty constraints and multi-energy coupling characteristics. [PDF]
Lu J, Wang J, Liu J, Liu Y.
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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
Fouskakis, Dimitris, Draper, David
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