Results 71 to 80 of about 336,796 (327)
Indonesian Maritime Logistics Network Optimization Using Mixed Integer Programming
MATEC Web of Conferences, 2017 Some causes of the high logistic costs and significant disparity in Indonesia’s commodity price is the imbalanced distribution of the flow of goods between west and east regional of Indonesia and the slow development infrastructure.
Arry Rahmawan Komarudin +1 more
doaj +1 more source
From Uncertainty Data to Robust Policies for Temporal Logic Planning
, 2018 We consider the problem of synthesizing robust disturbance feedback policies for systems performing complex tasks. We formulate the tasks as linear temporal logic specifications and encode them into an optimization framework via mixed-integer constraints.
Calafiore G. C. +9 more
core +1 more source
Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch
, 2018 One key aspect of power system operation is the minimization of line losses while maintaining voltages within certain limits. Doing so can be achieved through the use of voltage regulators, tap changing transformers, and shunt capacitors.
Alexander Murray +3 more
semanticscholar +1 more source
Advanced Science, EarlyView.Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
MethodsXThis paper addresses the challenges of project portfolio optimization and contractor selection through two proposed scenarios. In the first scenario, two separate mixed-integer mathematical programming models are presented: one for project portfolio ...
Mostafa Zahedirad +3 more
doaj +1 more source
Presolving linear bilevel optimization problems
EURO Journal on Computational Optimization, 2021 Linear bilevel optimization problems are known to be strongly NP-hard and the computational techniques to solve these problems are often motivated by techniques from single-level mixed-integer optimization.
Thomas Kleinert +3 more
doaj +1 more source
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
Advanced Science, EarlyView.We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source
An Optimal Generation Scheduling Approach Based on Linear Relaxation and Mixed Integer Programming
IEEE Access, 2020 This paper proposes an optimal generation scheduling approach based on linear relaxation and mixed integer programming, which is used to solve the generation dispatch problem.
Yunkai Lei +5 more
doaj +1 more source
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization
International Joint Conference on Artificial Intelligence, 2020 Counterfactual Explanation (CE) is one of the post-hoc explanation methods that provides a perturbation vector so as to alter the prediction result obtained from a classifier.
Kentaro Kanamori +3 more
semanticscholar +1 more source
Presolving for Mixed-Integer Semidefinite Optimization
INFORMS Journal on Optimization, 2023 This paper provides a discussion and evaluation of presolving methods for mixed-integer semidefinite programs. We generalize methods from the mixed-integer linear case and introduce new methods that depend on the semidefinite condition. The methods considered include adding linear constraints, deriving bounds relying on 2 × 2 minors of the ...
Frederic Matter, Marc E. Pfetsch
openaire +1 more source