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Showing 1 to 20 of 132 for “"multiobjective"”.
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Approximation of Multiobjective Optimization Problems
… goal in this setting is, given an instance of a multiobjective problem, to efficiently obtain a ``good'' approximation to the entire solution space with ``few'' solutions. This has been the underlying goal in much of the research in the multiobjective area, with many heuristics proposed for this …
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Multiobjective Reservoir Optimization Using Genetic Algorithm
… 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 pressure flow in penstock and turbine system and the hydropower generation. The hydropower …
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Multiobjective modelling of biofuel supply systems
The aim of this thesis is to determine the optimal land use options offered by different bioenergy crops and technologies available to South Africa for the development of the most efficient and sustainable agriculture-based biofuels industry.
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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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Multiobjective collaborative optimization of systems of systems
Concept studies for warship designs typically focus on ship performance characteristics by setting design goals for such things as speed, range, and cost. However, warships generally operate as part of a larger battle or strike group. Therefore, the designs should be evaluated as part of a system …
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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 collaborative optimization of systems of systems
Concept studies for warship designs typically focus on ship performance characteristics by setting design goals for such things as speed, range, and cost. However, warships generally operate as part of a larger battle or strike group. Therefore, the designs should be evaluated as part of a system …
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Steerable Alignment with Conditional Multiobjective Preference Optimization
… these limitations, we propose Conditional Multiobjective Preference Optimization (CMPO), a novel alignment strategy that trains a user-steerable LLM along multiple attributes of text, such as helpfulness and humor. CMPO simulates the pareto front of multiple single-attribute …
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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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Multiobjective Simulation Optimization Using Enhanced Evolutionary Algorithm Approaches
… objectives. Traditional approaches for solving multiobjective optimization problems typically try to scalarize the multiple objectives into a single objective. This transforms the original multiple optimization problem formulation into a single objective optimization problem with a single …
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Multiobjective RF Communication Networks: Theory and Hardware Implementation
Communication networks play a central role in many fields of modern technology, from industry to agriculture, to defense, to development of urban or rural areas. Regardless of the medium this dissertation is found on, either paper or a digital copy, it was brought to your hands thanks to an …
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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 …
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Multiobjective genetic algorithms with application to control engineering problems.
… Despite their early recognized potential for multiobjective optimization (almost all engineering problems involve multiple, often conflicting objectives), genetic algorithms have, for the most part, been applied to aggregations of the objectives in a single-objective fashion, like conventional …
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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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Application of the analytic hierarchy process to multiobjective combinatorial optimization
Includes bibliographical references (pages 57-59).
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An infeasible-path-following algorithm for nonlinear multiobjective optimisation problems
The subject area of multiobjective optimisation deals with the investigation of optimisation problems that possess more than one objective function. Usually, there does not exist a single solution that optimises all functions simultaneously, quite the contrary, in general the set of so-called …
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Multiobjective optimization of a radio telescope array with site constraints
The next generation of radio telescope interferometric arrays requires careful design of the array configuration to optimize the performance and minimize the cost of the overall system while adhering to site constraints. A framework, based on genetic algorithms, for rapid exploration and …
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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
Slotted Waveguide Antenna Stiffened Structures (SWASS) offer a new way to integrate the antennas used by many aircraft systems in modern aircraft. Looking at the weather radars used by current aircraft and using the loading estimates of the X-47B from Northrop Grumman, the designs went through …
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