This paper presents an efficient multi-objective model based optimization approach for the optimal sizing of all components and the determination of the best power electronic layout.
We propose a collaborative e-Work based optimization approach for assisting the strategic logistic network design problem, which considers fleet design and customer clustering decisions.
The simulation based optimization approach gives good approximate solutions for the stochastic demand problems.
A comparison of the results obtained from deterministic and stochastic model-based optimization approaches for the determination of the optimal open-loop operating policy for a semi-batch reaction system are presented.
Based on the above analysis, we aim to propose a new simulation-based optimization approach for the width design of urban rail transit station walkway in this paper.
This work presents a systematic and practical finite element based design optimization approach for the injection tooling adaptive to additive manufacturing (AM) technology using stereo-lithography (SLA) and powder bed fusion (PBF).
In this paper, a guidance algorithm method based on convex optimization approach for pinpoint hopping movement on a small body is developed in order to improve the stability and accuracy of surface exploration.
An online extreme learning machine (ELM) based modeling and optimization approach for point-by-point engine calibration is proposed to improve the efficiency of conventional model-based calibration approach.
Hence gradient-based optimization algorithms are well suited for solving the reliability based optimization problem.
For this purpose, this paper details a simulation-based optimization approach that provides width design through automatic reconfiguration of walkway width during the simulation optimization process based on phase-type (PH) distribution.
An optimization approach for bioprocesses based on linear programming is developed and applied to a wastewater treatment plant.
