Results 111 to 120 of about 1,501,275 (273)
Optimization of crop planting strategies based on improved multi-objective linear programming
上海师范大学学报. 自然科学版Optimizing crop planting strategies is a key issue in improving agricultural production efficiency and reducing planting risks. We constructed an improved multi-objective linear programming model that considers factors such as yield fluctuations, market ...
HONG Yuxuan +3 more
doaj +1 more source
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source
IEEE AccessBiofuels derived from feedstock offer a sustainable source for meeting energy needs. The design of supply chains that deliver these fuels needs to consider quality variability with special attention to shipping costs, because biofuel feedstocks are ...
Kolton Keith +2 more
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M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling
Journal of Field Robotics, EarlyView.ABSTRACT Task execution quality significantly impacts multi‐robot missions, yet existing task allocation frameworks rarely consider quality of service as a decision variable, despite its importance in applications like robotic disinfection and cleaning. We introduce the multi‐robot, multi‐objective, and multi‐mode routing and scheduling (M3RS) problem,
Ishaan Mehta +3 more
wiley +1 more source
Технічна інженеріяThe article examines the relevance and methodological foundations of applying mathematical programming methods for optimizing the design of technological complexes and the planning of mining operations in open-pit development of ore and non-ore mineral ...
S.S. Iskov +3 more
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Convex approximations for a class of mixed-integer recourse models [PDF]
We consider mixed-integer recourse (MIR) models with a single recourse constraint.We relate the secondstage value function of such problems to the expected simple integer recourse (SIR) shortage function.
Vlerk, Maarten H. van der
core
Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth +4 more
wiley +1 more source
Stochastic integer programming for multi-disciplinary outpatient clinic planning. [PDF]
Health Care Manag Sci, 2019 Leeftink AG, Vliegen IMH, Hans EW.
europepmc +1 more source
Application of mixed integer programming to a large scale logistics problem [PDF]
Integer Programming;Logistics ...
Westerhof, A.J. +2 more
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Regional Sustainability Assessment Under Risk and Uncertainty: A Water–Energy–Food Based Framework
Sustainable Development, EarlyView.ABSTRACT Regional sustainability assessment requires integrated structures that can examine the interactions between Water–Energy–Food (WEF) systems, socio‐economic risk conditions, and performance outcomes under uncertainty. This study proposes a multidimensional framework that combines a suitability index, composite sustainability indicators ...
Murat Oturakci
wiley +1 more source