Results 111 to 120 of about 5,147,506 (303)
Pareto solution set of robust control parameters Γ = 20.
, 2018 Pareto solution set of robust control parameters Γ = 20.
Wei Hao (134390) +3 more
core +1 more source
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT We conducted two framed field economic experiments with citrus farmers in Florida, United States and soybean farmers in Argentina to investigate their willingness to coordinate pest and weed management efforts. Despite the contrast between these two agricultural contexts, we find striking behavioral commonalities.
Ariel Singerman, Sergio H. Lence
wiley +1 more source
Pareto Improving Price Regulation When the Asset Market is Incomplete. [PDF]
Incomplete asset markets cause competitive equilibria to be constrained suboptimal and provides scope for Pareto improving interventions. In this paper, we examine how intervention in prices in asset or spot commodity markets serve this purpose.
H. M. Polemarchakis, P. J. J. Herings
core
Pareto solution set of robust control parameters Γ = 0.
, 2018 Pareto solution set of robust control parameters Γ = 0.
Wei Hao (134390) +3 more
core +1 more source
AIChE Journal, EarlyView.ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +1 more source
Hierarchical stratification of Pareto sets
, 2014 In smooth and convex multiobjective optimization problems the set of Pareto optima is diffeomorphic to an $m-1$ dimensional simplex, where $m$ is the number of objective functions. The vertices of the simplex are the optima of the individual functions and the $(k-1)$-dimensional facets are the Pareto optimal set of $k$ functions subproblems.
Lovison, A, Pecci, F
openaire +3 more sources
Convergence estimates for crude approximations of a Pareto set
Computers & Mathematics with Applications, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sobol', I.M., Myshetskaya, E.E.
openaire +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
AIChE Journal, EarlyView.Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
AIChE Journal, EarlyView.Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin +2 more
wiley +1 more source
Results in Control and OptimizationThis paper focuses on the multi-objective Travelling Salesman Problem for which the aim is to find the set of efficient solutions. To obtain this Pareto set's solutions, a novel metaheuristic named DM4-PMO is proposed.
Souhail Dhouib +3 more
doaj +1 more source