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Showing 1 to 20 of 97 for “"single objective"”.

  1. Informing decision-making in single-objective, mixed-variable design problems

    Data-driven decision-making in mixed-variable design problems presents a variety of challenges and opportunities, especially in the increasingly data-rich field of emissions in architectural and structural design. Designers can benefit from an underlying knowledge about, for example, whether …

    mit Repository record for Informing decision-making in single-objective, mixed-variable design problems (opens in a new tab)

  2. Estimating Costs of Reducing Environmental Emissions From a Dairy Farm: Multi-objective epsilon-constraint Optimization Versus Single Objective Constrained Optimization

    … air can harm water quality. We conduct a multi-objective optimization analysis for a representative dairy farm with two different approaches: nonlinear programming (NLP) and ϵ-constraint optimization to evaluate trade-offs among reduction of multiple pollutants including nitrogen (N), phosphorus …

    vt Repository record for Estimating Costs of Reducing Environmental Emissions From a Dairy Farm: Multi-objective epsilon-constraint Optimization Versus Single Objective Constrained Optimization (opens in a new tab)

  3. Single-Objective Tilted Light Sheet Illumination with Exchange-PAINT and Deep Learning for Fast, Accurate, and Precise 3D Single-Molecule Super-Resolution Imaging in Mammalian Cells

    Single-molecule super-resolution fluorescence microscopy is a powerful method for imaging detailed biological structures at the nanoscale. However, imaging capabilities in thick samples such as mammalian cells remain limited due to increased fluorescence background which degrades the achievable …

    rice Repository record for Single-Objective Tilted Light Sheet Illumination with Exchange-PAINT and Deep Learning for Fast, Accurate, and Precise 3D Single-Molecule Super-Resolution Imaging in Mammalian Cells (opens in a new tab)

  4. Dynamic energy management system of microgrid

    … of selected optimization algorithms, both a single objective EMS (Energy Management System) and a multi-objective EMS are evaluated in either the grid-connected or islanded modes of operation. The algorithms evaluated in this thesis are one single-objective and one multi-objective and these …

    uoit Repository record for Dynamic energy management system of microgrid (opens in a new tab)

  5. Self-Tuning Methods for Multiple-Controller Systems

    … or controllers each having his own objective is considered. Based on a centralized information pattern, steady-state solutions are obtained for the stochastic adaptive Nash game and Leader-Follower game problems. These adaptive solutions, after a judicious transformation, resemble …

    uiuc Repository record for Self-Tuning Methods for Multiple-Controller Systems (opens in a new tab)

  6. Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach

    … System (FACTS) device installation using single- and multi-objective problems. It also considers techno-economic impact in the system. In this research, the first objective is to develop heuristic technique SingleObjective Particle Swarm Optimization (SOPSO) for optimal location and …

    uthm Repository record for Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach (opens in a new tab)

  7. A multiobjective, multidisciplinary design optimization methodology for the conceptual design of distributed satellite systems

    A multiobjective, multidisciplinary design optimization methodology for mathematically modeling the distributed satellite system (DSS) conceptual design problem as an optimization problem has been developed to advance the state-of-the-art in complex distributed satellite network design. An …

    mit Repository record for A multiobjective, multidisciplinary design optimization methodology for the conceptual design of distributed satellite systems (opens in a new tab)

  8. DESIGNING WATERSHED-SCALE STRUCTURAL BEST MANAGEMENT PRACTICES USING EVOLUTIONARY ALGORITHMS TO ACHIEVE WATER QUALITY GOALS

    … designed on an on site basis in most cases. The objective of this research is to develop methodologies that can be used to design structural BMPs as measurements for controlling non-point sources of pollution (i.e. sediment and nutrients) on a larger spatial scale, that of a watershed. The Soil …

    siu-theses Repository record for DESIGNING WATERSHED-SCALE STRUCTURAL BEST MANAGEMENT PRACTICES USING EVOLUTIONARY ALGORITHMS TO ACHIEVE WATER QUALITY GOALS (opens in a new tab)

  9. A hybrid crow search-based method for solving the closed loop supply chain network design

    … optimization. The framework is validated on the Single-Source Capacitated Facility Location Problem (SSCFLP), a single-objective CLSCND model, and a bi-objective CLSCND model minimizing total cost and net CO2 emissions. For SSCFLP, the method reproduces proven optima on small, medium, and large …

    exeter

  10. Multiobjective genetic algorithms applied to heat transfer problems

    In the present work, the multi-objective optimization by genetic algorithms is investigated and applied to heat transfer problems. Firstly, the work aims to compare different reproduction processes employed by genetic algorithms and two new promising processes are suggested. Secondly, in this work …

    bologna Repository record for Multiobjective genetic algorithms applied to heat transfer problems (opens in a new tab)

  11. A generalized approach to planar induction heating magnetics

    … advantage compared to existing FEM techniques. Single-objective and multiobjective optimization of a domestic induction heating coil are performed using the new technique, using more advanced algorithms than those previously used due to the increase in speed. Both optimization algorithms …

    mit Repository record for A generalized approach to planar induction heating magnetics (opens in a new tab)

  12. Managerial factors affecting aircraft maintenance : an agent based model and optimization with simulated annealing

    A single objective agent based model of managerial factors affecting aircraft maintenance was build based on a case study done regarding safety climate's effect on maintenance efficacy in the Korean Air Force. In particular the model measures the effect of managerial context and command on agents' …

    mit Repository record for Managerial factors affecting aircraft maintenance : an agent based model and optimization with simulated annealing (opens in a new tab)

  13. Sensitivity-based guided automatic calibration of hydrological models

    A new method for efficient calibration of complex hydrological models that combines Dynamically Dimensioned Search (DDS) global optimization algorithm with Global Sensitivity Analysis (GSA) methods is introduced. This approach, which is called sensitivity-informed DDS, utilizes sensitivity indices …

    manitoba Repository record for Sensitivity-based guided automatic calibration of hydrological models (opens in a new tab)

  14. In-core Optimization of Pressurised Water Reactor Reload Design via Multi-objective Tabu Search

    … one such method’s ability to optimize multiple objectives simultaneously – multi-objective Tabu Search. It was statistically analysed in comparison to other common leading methods – notably the Genetic Algorithm. It was tested on real reactor models using realistic data provided by a utility. …

    cambridge Repository record for In-core Optimization of Pressurised Water Reactor Reload Design via Multi-objective Tabu Search (opens in a new tab)

  15. Development of novel imaging technology to study cell signalling

    … to study signalling on living cells at the single molecule level. One problem is that it is not possible to trigger signalling in a controlled manner and there is no effective method that can both introduce a precise amount of molecules onto or into a single cell at a specific position and …

    cambridge Repository record for Development of novel imaging technology to study cell signalling (opens in a new tab)

  16. What attitudes about opium were driving the government of India's policies between 1857-1906?

    … this analysis will show is that there was no single objective or agenda that was driving British opium policy or ideas about the drug. Policies on opium operated at different levels and similarly they did not always relate to one another. They were affected by multiple ideas, local politics …

    strathclyde Repository record for What attitudes about opium were driving the government of India's policies between 1857-1906? (opens in a new tab)

  17. Generative modeling using the sliced Wasserstein distance

    … which, in its simplest form, results in a single objective rather than a saddlepoint formulation. By augmenting this approach with a discriminator we improve its accuracy. We found our approach to be significantly more stable compared to even the improved Wasserstein GAN. Further, unlike …

    uiuc Repository record for Generative modeling using the sliced Wasserstein distance (opens in a new tab)

  18. Applying genetic algorithms to multi-objective land-use planning.

    … of applying genetic algorithms (GAs) to multi-objective land-use planning. Rural land managers, in the UK and elsewhere in Europe, are faced with an increasingly complex decision-making environment where a varied mix of goals have to be achieved. To address this problem, GA-based land-use …

    rgu Repository record for Applying genetic algorithms to multi-objective land-use planning. (opens in a new tab)

  19. Leveraging Gaussian Process Sampling for Sensitivity Analysis and Optimization in Engineering Design

    … functions in engineering tasks such as GSA, single-objective optimization, and multi-objective optimization. Towards realizing intelligent engineering systems, this thesis finally proposes a DT framework that leverages GP for efficient model updating and optimal decision-making.

    houston Repository record for Leveraging Gaussian Process Sampling for Sensitivity Analysis and Optimization in Engineering Design (opens in a new tab)

  20. Multiobjective Simulation Optimization Using Enhanced Evolutionary Algorithm Approaches

    … involve the optimization not only of multiple objectives simultaneously, but also conflicting objectives, where improving one objective may degrade the performance of one or more of the other objectives. Traditional approaches for solving multiobjective optimization problems typically try to …

    ucf

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