Sfoglia per Soggetto "Multiobjective optimization"
Items 1-13 di 13
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Alloy Design Based on Computational Thermodynamics and Multi-objective Optimization: The Case of Medium-Mn Steels
(2017)A new alloy design methodology is presented for the identification of alloy compositions, which exhibit process windows (PWs) satisfying specific design objectives and optimized for overall performance. The methodology is ... -
Application of i-SDT for safer flare management operation
(2019)Utilizing unburn flare streams in a safe way represents one of the key challenges during flare alternatives implementation. Most of the time, process safety is considered on a supplemental basis after accomplishing a ... -
Bridging the gap between multi-objective optimization and spatial planning: a new post-processing methodology capturing the optimum allocation of land uses against established transportation infrastructure
(2017)The optimal allocation of multiple land uses constitutes a complex multi-objective optimization problem with unknown feasible objective space and optimal planning alternatives. Despite the effectiveness of evolutionary ... -
Distributed load shedding with minimum energy
(2016)This paper proposes distributed load shedding policies for regulating excessive network load. Data packets are inserted into the network to be delivered to intended destinations. The intermediate network nodes may decide ... -
Finite element model validation and predictions using dynamic reduction techniques
(2011)Finite element (FE) model updating and validation techniques are formulated as single and multi-objective optimization problems. A multi-objective optimization framework results in multiple Pareto optimal models that are ... -
Mixed integer biobjective quadratic programming for maximum-value minimum-variability fleet availability of a unit of mission aircraft
(2017)We consider the FMP problem encountered in the Hellenic Air Force (HAF), that is, the problem of issuing individual flight and maintenance plans for a group of aircraft comprising a unit, so as to maximize the fleet ... -
Multi-objective optimization algorithms for finite element model updating
(2008)A multi-objective optimization method is presented for estimating the parameters of finite element structural models based on modal residuals. The method results in multiple Pareto optimal structural models that are ... -
On green scheduling for desktop grids
(2018)Task scheduling is of paramount importance in a desktop grid environment. Earlier works in the area focused on issues such as: meeting task deadlines, minimizing make-span, monitoring and checkpointing for progress, malicious ... -
Optimal experimental design for structural health monitoring applications
(2008)Successful structural health monitoring and condition assessment depends to a large extent on the sensor and actuator networks place on the structure as well as the excitation characteristics. An optimal experimental design ... -
Optimization algorithms for system integration
(2008)This work outlines the optimization algorithms involved in integrating system analysis and measured data collected from a network of sensors. The integration is required for structural health monitoring problems arising ... -
Pareto optimal structural models and predictions consistent with data and modal residuals
(2008)A multi-objective identification method for model updating based on modal residuals is proposed. The method results in multiple Pareto optimal structural models that are consistent with the measured modal data, the class ... -
Sensor Placement for Lifetime Extension by Applying Neural Network Configuration under Coverage and Energy Constraints
(2022)In deployments of Wireless Sensor Networks (WSNs), sensor placement, coverage, connectivity and energy constraints determine the overall network lifetime. In large-size WSNs it is difficult to maintain a trade-off among ... -
A swarm intelligence graph-based pathfinding algorithm (SIGPA) for multi-objective route planning
(2021)Personalized tourist route planning (TRP) and navigation are online or real-time applications whose mathematical modeling leads to complex optimization problems. These problems are usually formulated with mathematical ...