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Various local optimization techniques such as Interior Point Algorithm have been widely used to optimize the parameters of models representing biodynamic responses to vibration. The quality of the obtained solutions depends on the initial guesses. This paper presents a comparison between the performance of Particle Swarm Optimization and Genetic Algorithm in optimizing the parameters of a human body...
Considerable efforts have been made recently to develop a completely zero-emission and highly fuel efficient vehicle. Due to clean and efficient power generation, the hydrogen fed fuel cell vehicle (FCVs) has received considerable attention. However, major obstacles such as cost of the hydrogen infrastructure, driving range, and cost of the fuel cell greatly influence FCV development. At the same...
A tri-trophic ecosystem model was developed, combining a functional-structural plant growth model GreenLab and a discrete dynamic population model. Two issues of modeling are investigated: (1) analysis of sensitivity of model out-puts to model parameters and (2) parameter identification. Results revealed that parameters which contribute greatly to model output can be identified. Two applications of...
As a result of their high economic costs and unforeseen impacts on society, pre-implementation evaluation of telematic systems is important and can lead to time and cost savings. This article presents an optimization perspective for evaluating conceptual options of transport telematic architecture in relation to benefits to the society. These benefits are evaluated in the context of multiple services...
Model parameters optimisation is a very common problem when dealing with mathematical models. These models are often designed from theoretical considerations on the physics phenomena and afterwards adapted in order to fit the experimental data that are collected on the real operating scenario. The paper compares different approaches to the problem of finding the optimal values of four parameters characterising...
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