Results 51 to 60 of about 476 (159)
Game‐Theoretic Multi‐Agent Dynamic Traffic Assignment Using Congestion‐Aware Adaptive Learning
This paper proposes a novel game‐theoretic multi‐agent framework for dynamic traffic assignment problems, integrating congestion‐aware adaptive learning to simultaneously reduce individual travel time and improve overall network efficiency under dynamic congestion.
Dandan Wu +4 more
wiley +1 more source
ABSTRACT This paper presents a two‐level hierarchical adaptive damping control strategy designed to robustly mitigate inter‐area low‐frequency oscillations (LFOs) in large‐scale power systems featuring high shares of doubly‐fed induction generator (DFIG) wind farms. The proposed structure integrates a central wide‐area damping controller (WADC), driven
Mohsen Darabian +4 more
wiley +1 more source
The strategic placement and sizing of electric vehicle (EV) charging stations on highways are critical for alleviating range anxiety and fostering widespread EV adoption. This paper presents a novel mixed‐integer linear programming (MILP) model for optimizing the location and capacity of charging stations along highway corridors.
Raka Jovanovic +3 more
wiley +1 more source
On Some Algorithmic and Structural Results on Flames
ABSTRACT A directed graph F with a root node r is called a flame if for every vertex v other than r the local edge‐connectivity value λ F ( r , v ) from r to v is equal to ϱ F ( v ), the in‐degree of v. It is a classic, simple and beautiful result of Lovász [4] that every digraph D with a root node r has a spanning subgraph F that is a flame and the λ (
Dávid Szeszlér
wiley +1 more source
Control Node Placement and Structural Controllability of Water Quality Dynamics in Drinking Networks
Abstract Chlorine, the most widely used disinfectant, needs to be adequately distributed in water distribution networks (WDNs) to maintain consistent residual levels and ensure safe water. This is performed through control node injections at the treatment plant and via booster stations distributed across the WDNs.
Salma M. Elsherif, Ahmad F. Taha
wiley +1 more source
Data and Competition: A Simple Framework
ABSTRACT Does enhanced access to data foster or hinder competition among firms? Using a competition‐in‐utility framework that encompasses many situations where firms use data, we model data as a revenue‐shifter and identify two opposite effects: a mark‐up effect according to which data induces firms to compete harder, and a surplus‐extraction effect ...
Alexandre de Cornière, Greg Taylor
wiley +1 more source
Multivariate Incomplete Information in the Mixture Model of Contests
ABSTRACT A general mixture model of contests is introduced, combining stochastic performance and multivariate incomplete information. Performance is determined by a mixture distribution with endogenous weights on a good and bad distribution, respectively.
René Kirkegaard
wiley +1 more source
Expected Maximization of a Concave Utility Function Under Threshold-Based Activation
Maximizing the expected value of a concave and strictly increasing utility function defines a fundamental class of discrete optimization problems. Among them, coverage decision problems with diminishing marginal returns under uncertainty, typically ...
Guangming Li +4 more
doaj +1 more source
Maximizing General Set Functions by Submodular Decomposition
We present a branch and bound method for maximizing an arbitrary set function h mapping 2^V to R. By decomposing h as f-g, where f is a submodular function and g is the cut function of a (simple, undirected) graph G with vertex set V, our original problem is reduced to a sequence of submodular maximization problems.
openaire +2 more sources
In this paper, for the univariate Bernstein-Kantorovich-Choquet, Szasz-Kantorovich-Choquet, Baskakov-Kantorovich-Choquet and Bernstein-Durrmeyer-Choquet operators written in terms of the Choquet integrals with respect to monotone and submodular set ...
Sorin Gal
doaj +2 more sources

