Results 101 to 110 of about 66,012 (265)
Computing the Complete Pareto Front
We give an efficient algorithm to enumerate all elements of a Pareto front in a multi-objective optimization problem in which the space of values is finite for all objectives. Our algorithm uses a feasibility check for a search space element as an oracle and minimizes the number of oracle calls that are necessary to identify the Pareto front of the ...
openaire +2 more sources
A Computational Fluid Dynamics (CFD) and response surface-based multiobjective design optimization were performed for six different 2D airfoil profiles, and the Pareto optimal front of each airfoil is presented.
Ziaul Huque +3 more
doaj +1 more source
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
Pareto set learning (PSL) is an emerging approach for acquiring the complete Pareto set of a multi-objective optimization problem. Existing methods primarily rely on the mapping of preference vectors in the objective space to Pareto optimal solutions in the decision space.
Ye, Rongguang +4 more
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Prioritization of stockpile maintenance with layered Pareto fronts
Difficult choices are required for a decision-making process where resources and budgets are increasingly constrained. This paper demonstrates a structured decision-making approach using layered Pareto fronts to identify priorities about how to allocate funds between munitions stockpiles based on their estimated reliability, the urgency of needing ...
Burke, Sarah E. +3 more
openaire +3 more sources
Router deployment of Streetside Parking Sensor Networks in Urban Areas [PDF]
The deployment of urban infrastructure is very important for urban sensor applications. In this paper, we studied and introduced the deployment strategy of wireless on-street parking sensor networks.
Lin, Trista +2 more
core +3 more sources
ABSTRACT This study proposes a novel integrated system (SDKC‐DORC) that combines a split‐flow dual‐pressure Kalina cycle with a secondary organic Rankine cycle for the synergistic utilization of solar energy and liquefied natural gas (LNG) cold energy.
Ke Xiao +6 more
wiley +1 more source
Worst-case Responses Estimate Impact on Pareto Front
For a reasoned decision-making in multiresponse problems, it is important to investigate how consistent the Pareto Frontier is to responses estimation uncertainty. To investigate the impact of this uncertainty source on the Pareto frontier, solutions achieved from the worst and mean responses estimate were generated and compared.
Costa, Nuno, Lourenço, João
openaire +3 more sources
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
Optimizing biomass use for carbon storage and land use with the OptiBiU model
Abstract Optimal biomass use in a circular bioeconomy requires a system perspective to guide decision‐making. The Optimizing Biomass Use (OptiBiU) model was developed for this purpose. The model distinguishes among primary biomass production, intermediate products, and biobased products, and incorporates recycling.
Pim M. Post +8 more
wiley +1 more source
Optimal controller comparison using Pareto fronts [PDF]
Includes abstract.
openaire +3 more sources

