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RACH optimization aims at optimizing the random access channels in the cells based on UE feedback and knowledge of its neighboring eNBs RACH configuration.
In this regard, topology optimization aims for achieving the optimal structural geometry, i.e. the shape that leads to the minimum requirement of material, respecting constraints related to the stress state at each material point.
The optimization aims to find the theoretically optimal combination of the pressure levels and pinch-point temperatures to maximize the power production.
Non-gradient topology optimization aims to utilize soft computing approaches to approxi-mate the optimal material distribution inside a predefined design domain of a structure.
Production optimization aims at achieving the best development performance for a given reservoir by optimizing well controls.
The optimization aims at reducing the residual vibration responses after the application of impact loads.
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First, topology optimization, aimed at maximizing global stiffness of the structure, allows to find an optimal distribution of polar components.
Multi-objective optimization aimed at improving lift, drag, and pitching moment considerations is also discussed.
The optimization aimed to study a range of blade materials, from traditional fibreglass through sustainable alternatives to rapid prototyping plastic.
The solution is based on particle swarm optimization aiming at minimizing execution cost while meeting deadline constraints.
The optimization aimed at minimizing the diffuser loss coefficient and maximizing the pressure coefficient.
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