Results 121 to 130 of about 188,484 (320)
Amortized Active Generation of Pareto Sets
Appears in the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
Steinberg, Daniel M. +5 more
openaire +2 more sources
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 more
wiley +1 more source
Elite Multi-Criteria Decision Making—Pareto Front Optimization in Multi-Objective Optimization
Optimization is a process of minimizing or maximizing a given objective function under specified constraints. In multi-objective optimization (MOO), multiple conflicting functions are optimized within defined criteria.
Adarsh Kesireddy, F. Antonio Medrano
doaj +1 more source
Parameterized Algorithms for Computing Pareto Sets
Dynamic programming over tree decompositions is a common technique in parameterized algorithms. In this paper, we study whether this technique can also be applied to compute Pareto sets of multiobjective optimization problems. We first derive an algorithm to compute the Pareto set for the multicriteria s-t cut problem and show how this result can be ...
Könen, Joshua Marc +2 more
openaire +3 more sources
Abstract The waste activated sludge high‐rate (WASHR) process, developed in our previous study, is used for septic wastewater treatment. This high‐rate contact stabilization pre‐treatment uses typical waste streams found in wastewater treatment plants to reduce a portion of the loadings on the main treatment trains.
Arman Shirali +2 more
wiley +1 more source
Methyl transesterification of soybean oil using heterogeneous catalysts for biodiesel production. Abstract The growing global demand for renewable fuels has driven the search for efficient catalysts in biodiesel production. This study presents the synthesis and characterization of x_MoO3/Z‐22 and x_MoO3/MMP heterogeneous catalysts, and evaluates the ...
André Miranda da Silva +4 more
wiley +1 more source
Bi-objective optimization seeks to obtain Pareto optimal solutions that balance two trade-off objectives, providing guidance for decision making in various fields, particularly in the field of transportation. The novelty of this study lies in two aspects.
Hongyu Zhang +3 more
doaj +1 more source
Subuniformity of harmonic mean p$$ p $$‐values
Abstract We obtain several inequalities on the generalized means of dependent p$$ p $$‐values. In particular, the weighted harmonic mean of p$$ p $$‐values is strictly subuniform under several dependence assumptions of p$$ p $$‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton ...
Yuyu Chen +3 more
wiley +1 more source
An observation‐driven state‐space model for claims size modelling
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn +2 more
wiley +1 more source
A novel graph-theoretical clustering approach to find a reduced set with extreme solutions of Pareto optimal solutions for multi-objective optimization problems [PDF]
Sanath Kahagalage +3 more
openalex +1 more source

