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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 268 for “"objective functions"”.
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Objective functions for nonlinear structural analysis
An objective function that is suitable for both stable and unstable equilibrium states since it is guaranteed to assume a relative minimum at any equilibrium state is presented. The objective function, which is the inner product of the equations of equilibrium (algorithm 2), is compared with …
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Optimization of multistage systems with nondifferentiable objective functions.
… optimization problems in which the transition functions are twice continuously differentiable and the stagewise objective functions are convex, although not necessarily differentiable. Two basic descent algorithms which use sequential and parallel coordinating techniques are developed. In both …
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Random Keys Genetic Algorithms Scheduling and Rescheduling Systems for Common Production Systems
… specific production environments with specific objective functions. However, in many cases, more than one problem type and/or objective function exists, resulting in the need for a more generic and flexible system to generate schedules. Furthermore, most of the published scheduling research …
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Quantum Advantage via Physics-Inspired Methods in Optimization: Empirical and Theoretical Analysis
… to accelerate navigating complex landscapes of objective functions. However, the precise conditions under which these methods provide a provable advantage over state-of-the-art classical algorithms are still largely unexplored. In this thesis, we make progress toward answering this question. …
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Air Force Crew Scheduling: An Integer Optimization Approach
… problem. Furthermore, we present multiple objective functions aiming at mimicking reality to account for pilot qualification upgrades and their ability to stay current and mission ready. To compare candidate schedules, we identify numerous metrics that show the impact of the different …
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Application of dynamic optimization methods for foam floods in stratified reservoirs
… field injection strategy based upon various objective functions. In the process, the impact of initial waterflooding and varying foam strength on the optimum project termination time, as well as the sensitivity of foam parameters on the optimum field injection strategy is investigated. Two …
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Multi-objective control and coordination of multi-agent systems
… of multiple mobile agents facing multiple objectives are considered. Carefully constructed objective functions for agents interested in any or all of collision avoidance, robust communications, waypoint following, and dynamic coverage objectives are presented. Theory relevant to …
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Influence of Customer Locations on Heuristics and Solutions for the Vehicle Routing Problem
… from a depot location based on a defined objective function. The VRP is an NP-hard network optimization problem that is challenging to solve to optimality. Over the past 60 years, multitudes of heuristics and metaheuristics have been developed in order to minimize the computational burden …
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Distributed estimation algorithms for autonomous systems
… algorithms. It was found that for specific objective functions, general meshes of distributed agents may estimate a state while maintaining a consensus over its PDF and satisfying communication/localization objective constraint at the same time. Hyperparameter tuning techniques for multiple …
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Contributions to modeling parasite dynamics and dimension reduction
… formulated as an optimization problem with the objective being a linear function of the second order statistics of the data. However, such an objective function tends to overemphasize those directions already achieving large between-class distances yet making little improvement over the …
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Cross-Docking: A Proven LTL Technique to Help Suppliers Minimize Products' Unit Costs Delivered to the Final Customers
… consisting of two separate and independent objective functions including total transportation costs (TTC) and total cross-docking operating cost (TCDC). The full-truckload (FT) transportation mode is assumed to handle supplier→customer product transportation; otherwise, a cross-docking …
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The Clarke Derivative and Set-Valued Mappings in the Numerical Optimization of Non-Smooth, Noisy Functions
… minimization problems with non-smooth and noisy objective functions. After deriving a necessary condition for minimizers of such functions, we examine two unconstrained optimization routines. First, we prove new convergence theorems for Implicit Filtering and General Pattern Search. Then we show …
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Harmonic propagation studies in offshore wind power clusters
… into two primary goals: First, developing the objective functions to calculate power flow and harmonic propagation. Second, implementing the objective functions to develop a multi-objective evolutionary algorithm that can minimise harmonic propagation and power losses between the different …
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Improved Constrained Global Optimization for Estimating Molecular Structure From Atomic Distances
… posed as a nonlinear optimization problem. The objective functions rely on a vast amount of structural data. As a result, the objective functions are most often nonconvex, nonsmooth, and possess many local minima. Furthermore, introduction of additional structural data into the objective …
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Strategy development for object-oriented multiblock grid generation and adaptation to complex geometries
… A grid is adapted by minimization of objective functions, in which relations among weight functions and grid line distribution are formulated. The measures for grid quality, such as smoothness, cell aspect ratio, and orthogonality, are formulated as control terms of the objective …
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Improving risk-adjusted performance in high-frequency trading: The role of fuzzy logic systems
… logic models. We show that applying risk-return objective functions and accounting for transaction costs improve out-of-sample results. Our experiments identify that neuro-fuzzy models exhibit superior performance stability across multiple risk regimes when compared to popular neural network …
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Variations on bayesian optimization applied to numerical flow simulations
… problems involving expensive black-box objective functions. Several variants have been proposed in the literature, such as including gradient and/or multi-fidelity information, and it has been extended to multi-objective optimization problems. Despite its recent applications to numerical …
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Advances in robust and adaptive optimization : algorithms, software, and insights
… methods for solving problems with "relative" RO objective functions. We use combinations of absolute and relative worst-case objective functions to find "Pareto-efficient" solutions that combine aspects of both. We demonstrate through three in-depth case studies that these solutions are intuitive …
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Optimal design of nonlinear framed structures under multiple loading conditions based on a stability criterion
… structures. The design methodology is a multiple-objective optimization procedure whose objective functions involve the buckling eigenvalues and eigenvectors of the structure. Designs are constrained to have constant weight. An iterative optimality criterion method is used to solve the …
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Dynamic human-computer collaboration in real-time unmanned vehicle scheduling
… task allocation usually have an a priori coded objective function that only takes into account pre-determined variables with set weightings. Due to the complex, time-critical, and dynamic nature of command and control missions, brittleness due to a static objective function could cause higher …
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