Results 31 to 40 of about 1,501,275 (273)
Stochastic packing integer programs with few queries [PDF]
Mathematical Programming, 2018 The final draft of a paper published in Mathematical Programming (Series A)
Yutaro Yamaguchi 0001, Takanori Maehara
openaire +6 more sources
A ROBUST BI-OBJECTIVE UNCERTAIN GREEN SUPPLY CHAIN NETWORK MANAGEMENT [PDF]
Serbian Journal of Management, 2016 Conflicting objectives becomes a common issue in many supply chain network optimization problems. In this paper, a new model is formulated to design a green supply chain network through a new mixed integer linear programming problem.
Hêriş Golpîra
doaj +1 more source
Multistage Stochastic Integer Programs
, 2001 We consider linear multistage stochastic integer programs and study their functional and dynamic programming formulations as well as conditions for optimality and stability of solutions. Furthermore, we study the application of the Rockafellar-Wets dualization approach as well as the structure and algorithmic potential of corresponding dual problems ...
Römisch, Werner, Schultz, Rüdiger
openaire +3 more sources
Applied Sciences, 2019 This paper proposes a coordinated active–reactive power optimization model for an active distribution network with energy storage systems, where the active and reactive resources are handled simultaneously.
Lingling Wang +4 more
doaj +1 more source
A study of progressive hedging for stochastic integer programming
Computational Optimization and Applications, 2023 AbstractMotivated by recent literature demonstrating the surprising effectiveness of the heuristic application of progressive hedging (PH) to stochastic mixed-integer programming (SMIP) problems, we provide theoretical support for the inclusion of integer variables, bridging the gap between theory and practice.
Jeffrey Christiansen +3 more
openaire +2 more sources
Operations Research Perspectives, 2019 We propose herein the application of Benders decomposition with stochastic linear programming instead of the mix integer linear programming (MILP) approach to solve a lot sizing problem under uncertain demand, particularly in the case of a large-scale ...
Aphisak Witthayapraphakorn +1 more
doaj +1 more source
IEEE Access, 2020 In recent years, more and more oil companies adopt initiative delivery mode to make the refined oil secondary distribution scheme. In this work, we focus on the optimization problem of refined oil secondary distribution based on the initiative ...
Zhenping Li, Yuwei Zhang, Guowei Zhang
doaj +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
A Location Problem of Fast Charging Stations Considering Congestion [PDF]
Journal of International Logistics and Trade, 2017 This paper considers locating congested fast charging stations (FCSs) and deploying chargers in a stochastic environment, while the related studies have predominantly focused on problems in deterministic environments. Reducing the inconvenience caused by
Woosuk Yang
doaj +1 more source
Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers
Advanced Science, EarlyView.Fe/Ti/CoFeB trilayers generate orthogonal spin currents that drive stochastic spin–orbit‐torque switching for probabilistic‐bit operation. The switching probability is continuously controlled by the in‐plane magnetic field and drive current, enabling tunable random bit generation.
Donghyeon Han +17 more
wiley +1 more source