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R. Timothy Marler
Researcher at University of Iowa
Publications - 12
Citations - 1752
R. Timothy Marler is an academic researcher from University of Iowa. The author has contributed to research in topics: Multi-objective optimization & Optimization problem. The author has an hindex of 9, co-authored 12 publications receiving 1433 citations.
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Journal ArticleDOI
The weighted sum method for multi-objective optimization: new insights
TL;DR: This paper investigates the fundamental significance of the weights in terms of preferences, the Pareto optimal set, and objective-function values and determines the factors that dictate which solution point results from a particular set of weights.
Journal ArticleDOI
Function-transformation methods for multi-objective optimization
TL;DR: It is shown that some transformation methods are detrimental to the process of generating a diverse spread of points, and criteria are proposed for determining when the methods fail to generate an accurate representation of the Pareto set.
Proceedings ArticleDOI
Multi-objective Optimization for Upper Body Posture Prediction
TL;DR: This paper capitalize on the advantages of optimization-based posture prediction for virtual humans by incorporating multi-objective optimization (MOO) in two capacities and finds that although using MOO to combine the performance measures generally provides reasonable results, there is no significant difference between the results obtained with different MOO methods.
Proceedings ArticleDOI
A New Discomfort Function for Optimization-Based Posture Prediction
TL;DR: A new human performance measure for direct optimizationbased posture prediction that incorporates three key factors associated with musculoskeletal discomfort that incorporates the tendency to move different segments of the body sequentially.
Journal ArticleDOI
Prediction and analysis of human motion dynamics performing various tasks
TL;DR: In this article, an optimisation-based algorithm for simulating the dynamic motion of a digital human is presented, where human performance measures such as the total energy consumption governs human motion; thus, the process of human motion simulation can be formulated as an optimization problem that minimises human performance measure given at different constraints and hand loads.