Results 131 to 140 of about 184,637 (335)
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao +5 more
wiley +1 more source
An unconstrained binary quadratic programming for the maximum independent set problem
Nonlinear Analysis, 2012 For a given graph G = (V, E) the maximum independent set problem is to find the largest subset of pairwise nonadjacent vertices. We propose a new model which is a reformulation of the maximum independent set problem as an unconstrained quadratic binary ...
Sidi Mohamed Douiri, Souad Elbernoussi
doaj
Comparative solution approach with quadratic and genetic programming to multi-objective healthcare facility location problem [PDF]
, 2022 Pınar MİÇ
openalex +1 more source
Animal Research and One Health, EarlyView.This research innovatively illustrates baicalin’s multifaceted mechanisms in enhancing piglets’ intestinal health: modulating bile acid metabolism via probiotics, reinforcing tight junction proteins (ZO‐1/claudin), suppressing TLR4/NF‐κB‐mediated inflammation, whereas promoting growth and reducing diarrhea.
Yuhui Gao +6 more
wiley +1 more source
Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems
Asian Journal of Control, EarlyView.Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal +2 more
wiley +1 more source
On extreme point quadratic fractional programming problem
, 2014 Basiya Abdulrahim
openalex +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source