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Location analysis and network design are two major research areas in supply chain optimization; location problems deal with the decisions of where to optimally locate facilities, whereas network design involves activating optimal links (Contreras and Fernández 2012).
NT has the ability to explain as well as modify each of the critical steps of PDT particularly photosensitizer design and delivery, light source miniaturization and optimization, location and intensity of the photodynamic reaction as well as offering a far greater insight into dosimetry and mechanisms of action.
The optimization location of receiving antenna is investigated by dynamic differential evolution (DDE) and genetic algorithm (GA) to minimize the outage probability.
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This problem can be divided into two sub-problems: the DG optimal size (continuous optimization) and location (discrete optimization) to minimize real power losses.
Thus, the optimization of location of receiving antenna in this paper is using DDE and GA to overcome the above situation and to minimize the outage probability.
With these types of data, we analyzed the optimization of location, focusing on the provided services, and revealed the characters of the service provided in the areas.
The service request description consists of a required set of VMs, optimization criteria, location of data center or availability zones (where VMs are placed) and required level of SMI attributes that may include performance, security level, accountability, usability.
The model can achieve simultaneous optimization of locations (i.e., site for energy generation), synthesis (i.e., type, capacity, and number of equipment as well as structure of the energy distribution networks), and operation strategies of the entire system.
The process of determining the optimal well location is an optimization problem.
Well location optimization problem is an optimization problem of large-scale and multipeak value with constraint.
The decision variables in well placement and rate optimization problem are locations, type, and injection and production rates.
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