Results 121 to 130 of about 190,364 (297)

Regular distributive efficiency and the distributive liberal social contract. [PDF]

open access: yes
We consider abstract social systems of private property, made of n individuals endowed with non-paternalistic interdependent preferences, who interact through exchanges on competitive markets and Pareto-efficient lumpsum transfers.
Jean Mercier Ythier
core  

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

open access: yesAsia-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

Compromise, optimal and tractional accounts on Pareto set

open access: yesScience and Transport Progress, 2011
The problem of optimum traction calculations is considered as a problem about optimum distribution of a resource. The dynamic programming solution is based on a step-by-step calculation of set of points of Pareto-optimum values of a criterion function (energy expenses) and a resource (time).
openaire   +3 more sources

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu   +5 more
wiley   +1 more source

Optimal risk-sharing rules and equilibria with Choquet-expected-utility. [PDF]

open access: yes
This paper explores risk-sharing and equilibrium in a general equilibrium set-up wherein agents are non-additive expected utility maximizers. We show that when agents have the same convex capacity, the set of Pareto-optima is independent of it and ...
Chateauneuf, Alain   +2 more
core  

Design and Optimization of a Double‐Column Vapor Recompression Heat Pump Distillation Process via NSGA‐II for Separating Ternary Wide‐Boiling Mixtures

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a novel double‐column vapor recompression heat pump (DCVRHP) distillation process for separating ternary wide‐boiling‐range mixtures under two different vapor conditions: n‐hexane/n‐heptane/n‐octane using low pressure steam and n‐hexanol/n‐octanol/n‐decanol using high pressure steam.
Zeyang Li   +4 more
wiley   +1 more source

Elite Multi-Criteria Decision Making—Pareto Front Optimization in Multi-Objective Optimization

open access: yesAlgorithms
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

Simulating competition in the US bioeconomy to produce hard‐to‐electrify transportation fuels using limited biomass resources

open access: yesBiofuels, Bioproducts and Biorefining, EarlyView.
Abstract This study presents a novel bioeconomy optimization framework, BiOpt, designed to address critical questions regarding the strategic use of limited US biomass resources for biofuel production. By integrating detailed techno‐economic analyses, life cycle assessments, and resource assessment data, BiOpt optimizes resource distributions across ...
Nicholas A. Carlson   +3 more
wiley   +1 more source

Bi-Objective Optimization for Transportation: Generating Near-Optimal Subsets of Pareto Optimal Solutions

open access: yesApplied Sciences
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

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai   +9 more
wiley   +1 more source

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