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Showing 1 to 20 of 61 for “"multiobjective optimization"”.
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Approximation of Multiobjective Optimization Problems
We study optimization problems with multiple objectives. Such problems are pervasive across many diverse disciplines -- in economics, engineering, healthcare, biology, to name but a few -- and heuristic approaches to solve them have already been deployed in several areas, in both academia and …
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Mathematical Software for Multiobjective Optimization Problems
… considered. The main problem of interest is the multiobjective optimization problem, where the tradeoff surface (called the Pareto front) between multiple conflicting objectives must be approximated in order to identify designs that balance real-world tradeoffs. In order to solve multiobjective …
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Decomposition Evolutionary Algorithms for Noisy Multiobjective Optimization
Multi-objective problems are a category of optimization problem that contain more than one objective function and these objective functions must be optimized simultaneously. Should the objective functions be conflicting, then a set of solutions instead of a single solution is required. This set is …
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Multiobjective optimization of crewed spacecraft supportability strategies
Future crewed missions present a logistical challenge that is unprecedented in human spaceflight. Astronauts will travel farther from Earth than ever before, and stay in space for longer, without access to regular resupply or the option to abort and return home quickly in the event of an emergency. …
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Evolutionary algorithm for multiobjective optimization: Cooperative coevolution and new features
… and improve the evolutionary techniques for multiobjective optimization. A cooperative coevolution mechanism is introduced into multiobjective optimization, which evolves multiple solutions in the form of cooperative subpopulations. The cooperation among subpopulations is achieved through the …
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Multiobjective optimization of a radio telescope array with site constraints
… on genetic algorithms, for rapid exploration and optimization of the objective space pertaining to multiple objectives has been developed. A large space of possible designs has been evaluated for 27-, 60-, 100-, and 160-station arrays. The 27-station optimizations can be compared to the well-known …
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Validated global multiobjective optimization of trajectories in nonlinear dynamical systems
We introduce a new approach for global multiobjective optimization of trajectories in continuous nonlinear dynamical systems that can provide rigorous, arbitrarily tight bounds on the objective values and state paths realized by (Pareto-)optimal trajectories. By controlling all sources of error, …
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Multiobjective Optimization and Analysis of Slotted Waveguide Antenna Stiffened Structures
… the designs went through several stages in the optimization procedure. The first stage centered around accounting for the stress concentrations present at the corners of the slots. These points led to local failure around the slots prior to the buckling of the overall structure, but the …
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Advances in aircraft design: multiobjective optimization and a markup language
… a new Pareto front approximation method for multiobjective optimization problems. The method employs a hybrid optimization approach using two derivative free direct search techniques, and is intended for solving blackbox simulation based multiobjective optimization problems with possibly …
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Integrated structural design, vibration control, and aeroelastic tailoring by multiobjective optimization
… and its control system was treated as a multiobjective optimization problem. Structural mass, a quadratic performance index, and the flutter speed constituted the vector objective function. The closed-loop performance index was taken as the time integral of the Hamiltonian. Constraints on …
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Fuzzy logic and utility theory for multiobjective optimization of automotive joints
… the precise nature of mathematical models. Fuzzy multiobjective optimizations are performed on an automotive joint to maximize the overall designer's satisfaction. Several methods that account for all the attributes and the fuzziness in the goals are used. Three multiobjective fuzzy approaches, …
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Increased confidence in concept design through trade space exploration and multiobjective optimization
… and system performance, and 2) a particle.swarm optimization algorithm is implemented to efficiently search through the design space. The use of such an optimization algorithm becomes especially advantageous when higher fidelity models are included in the analysis because it is able to quickly …
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Development of Multiobjective Optimization Procedures for Seismic Design of Steel Moment Frame Structures
… developed in the present study for member sizing optimization of code-compliant regular plane steel special moment resisting frame structures with simultaneous as well as separate treatment of multiple objective functions that reflect steel material usage, initial expenses, degree of design …
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Urban drainage modeling and evolutionary multiobjective optimization for combined sewer overflows prediction and control
… modeling framework coupled with an evolutionary multiobjective optimization algorithm to provide decision support for the minimization of both the pollutant load of CSOs and the risk of basement and street flooding. We first implemented a computationally efficient model that predicts the volume, …
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A Novel Approach to Robust Design Using Recent Advances in Robust and Multiobjective Optimization Methods
Current advances in the fi eld of Robust Optimization (RO) from such authors as Azarm, Ben-Tal, Elishakoff , Zhang, Renaud and others have led to new and interesting approaches to the treatment of uncertainty in traditional engineering problems. This paper presents the Budget of Uncertainty (BoU) …
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Multiobjective Reservoir Optimization Using Genetic Algorithm
This thesis investigates the optimization of energy generation in a multipurpose reservoir. The objective functions and the constraints for the multiobjective optimization of reservoir operation for maximization of energy production involve the solution of a set of nonlinear equations governing …
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Generalized Inverse Optimization with Application to Cancer Therapy
Inverse optimization has recently received a growing amount of attention as a data-driven approach to determining parameter values for an optimization problem. In this thesis, we study new inverse optimization methodologies that generalize the traditional method of solving inverse optimization …
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Multiobjective genetic algorithms with application to control engineering problems.
… particularly useful for applications in optimization, engineering, and computer science, among other fields. In control engineering, they have found application mainly in problems involving functions difficult to characterize mathematically or known to present difficulties to more …
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ΠΟΛΥΚΡΙΤΗΡΙΑΚΗ ΑΡΙΣΤΟΠΟΙΗΣΗ ΑΠΟΣΥΝΘΕΣΙΜΟΥ ΚΑΤΑ LAGRANGE ΣΥΣΤΗΜΑΤΟΣ
THE ABOVE THESIS RELATES TO THE SUBJECT OF GROUP MULTIOBJECTIVE OPTIMIZATION OFLAGRANGE DECOMPOSABLE SYSTEM IN THE PROCESS OF PRODUCTION OF BENZENE. THE GENERAL CASE, IN WHICH THE LOCAL DECISION MAKERS OF SYBSYSTEMS GENERALLY USE THEIR OWN VIEWS TO WEIGH THE DIFFERENT CRITERIA IN RELATION TO THEIR …
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