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Showing 1 to 20 of 34 for “"Pareto optimal solutions"”.
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Diversity shrinkage of pareto-optimal solutions in hiring practice: Simulation, shrinkage formula, and a regularization technique
… is De Corte, Lievens, and Sackett’s (2007) Pareto-optimal weighting strategy. De Corte et al.’s strategy has been demonstrated on: (a) a composite of cognitive and noncognitive (e.g., personality) tests (De Corte, Lievens, & Sackett, 2008), and (b) a composite of specific cognitive ability …
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Constraint propagation and variable ordering heuristics for solving Constrained Partial CP-nets
Representing, reasoning and finding Pareto optimal solutions from users' qualitative conditional preferences is one of the interesting research topics in Artificial Intelligence(AI). A conditional Preference Network (CP-net) is one of the extensively used graph models to represent these conditional …
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Advances and applications in high-dimensional heuristic optimization
… problems are characterized by a set of Pareto optimal solutions wherein no solution unanimously optimizes all objectives. Evolutionary algorithms have emerged as a standard approach to determine a set of these Pareto optimal solutions, from which a decision-maker can select a vetted …
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Two Combinatorial Optimization Problems at the Interface of Computer Science and Operations Research
To address the post-optimality selection problem, this dissertation also proposes a new discrete optimization problem to help the decision-maker to obtain an optimal preferred subset of Pareto optimal solutions. This discrete optimization problem is proven to be NP-hard. To solve this problem, …
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Multiobjective Simulation Optimization Using Enhanced Evolutionary Algorithm Approaches
… seek alternative techniques that yield a set of Pareto optimal solutions rather than only a single solution. The problem becomes much more complicated in stochastic environments when the objectives take on uncertain (or "noisy") values due to random influences within the system being optimized, …
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Decomposition Evolutionary Algorithms for Noisy Multiobjective Optimization
… functions be conflicting, then a set of solutions instead of a single solution is required. This set is known as Pareto optimal. Multi-objective optimization problems arise in many real world applications where several competing objectives must be evaluated and optimal solutions found for …
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Genetic Algorithms and Genetic Programming for Multiscale Modeling: Applications in Materials Science and Chemistry and Advances in Scalability
… algorithms in reliably maintaining Pareto-optimal solutions is addressed. The results show that even when the building blocks are accurately identified, massive multimodality of the search problems can easily overwhelm the nicher (diversity preserving operator) and lead to …
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Trade-off analysis with cost consideration for quality function deployment
… analysis. The formulation gives a set of Pareto-optimal solutions, i.e. listing down all a??equally gooda?? alternatives, which can provide a basis for further consideration by the management. Other developments are also undertaken so as to better meet practitionersa?? concerns. Finally a …
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Energy-time optimal path planning in strong dynamic flows
… methodology that predicts time-energy optimal paths for autonomous vehicles navigating in dynamic environments. The differential equations solve the multi-objective optimization problem of navigating a vehicle autonomously in a dynamic flow field to any destination with the goal of …
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Efficient Continuous Pareto Exploration in Multi-Task Learning
… other. As a result, a single solution that is optimal for all tasks rarely exists. Recent papers introduced the concept of Pareto optimality to this field and directly cast multi-task learning as multiobjective optimization problems, but solutions returned by existing methods are typically …
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System Design and Evaluation of Spectrum Management Architectures for Co-Primary Sharing in the 37 GHz Band
… multi-dimensional tradespaces and identify Pareto-optimal solutions. Results indicate that semi-dynamic spectrum management systems with decentralized or hybrid coordination topologies consistently dominate the Pareto frontier across all demand levels. Compared to fully dynamic systems, …
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Mathematical Software for Multiobjective Optimization Problems
… 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 optimization problems that are derived from computationally expensive …
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A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing
… is presented that is capable of producing Pareto-optimal solutions for multi-objective infrastructure routing problems: the Multi-Objective Ant Colony Optimization (MOACO). This algorithm offers a constructive search technique to develop solutions to different types of infrastructure …
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Multicriteria Optimization in Inverse Radiotherapy Planning
… It is based on the fact that there is no single optimal plan, but many so-called Pareto optimal plans, which cannot be improved in one criterion without worsening another. A database with all Pareto optimal plans is generated and the decision which compromise is clinically the best is left to the …
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A Homogenization Approach for Design and Simulation of Blast Resistant Composites
… case study examines homogeneous plates and the optimal stacking sequence and plate thicknesses are determined. The second and third case studies use the homogenization method to calculate the properties of composite unit cell made of two different materials. The methods are integrated with …
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System architecture analysis and selection under uncertainty
… 1. The introduction of the concept of Fuzzy Pareto Optimality. Under uncertainty, one must necessarily consider more than just Pareto Optimal solutions to avoid the unintentional exclusion of viable and possibly even desirable designs. 2. The introduction of a proximity based filtering …
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Quantifying technology infusion and policy impact on low earth orbit communication satellite constellations
… are system performance, capacity, and cost. The Pareto optimal solution set of the baseline trade space is generated by the model using a full-factorial run that covers the entire design space. To simulate technology infusion, technical and cost attributes of four new technologies are quantified …
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From the Earth to the Moon: A Multi-Domain Approach to Cislunar Space Domain Awareness
… periodic orbits are explored to produce sets of Pareto optimal solutions that demonstrate the most effective combinations of periodic orbit families for maintaining SDA of Cislunar space. The second study employs a currently operational ground-based electro-optical sensor network to search a …
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Modelling and Multi-objective Optimization of Continuous Protein Recovery in Liquid-Solid Circulating Fluidized Bed (LSCFB)
… the model developed to determine the range of optimal solutions. Elitist nondominate sorting genetic algorithm with its jumping gene adaptation (NSGA-II-aJG) was used to solve a number of two- and three- objective function optimization problems. The optimization resulted in Pareto optimal …
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Shape and Structural Optimization of Flapping Wings
… approach is used to calculate the Pareto optimal solutions that maximize the cycle-average thrust while minimizing the peak input power and the wing mass. An aeroelastic model is derived to calculate the aerodynamic performance and the structural response of the deformable wings. A …
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