The article proposes a novel system value based optimization criterion to provide a computationally efficient energy allocation method at the transmitter, when using the SIC interference cancelation and MMSE equalizer methods at the receiver.
For the mean system value based optimization method, the number of channels mmean which loads the next discrete rate bp+1,mean will be obtained by finding the maximum mmean that satisfies the following inequality K mean ∗ − m mean λ ∗ b p + m mean λ ∗ b p + 1 ≤ K mean ∗ λ ¯ mean K mean ∗. (21).
In modern clinical treatment planning systems, fluence based optimization is done (at most) as an initial step.
To this end, an automatic ontology based optimization system that links rule-based optimization model and ontology has been introduced for the purpose to both improve optimization performance and to present new extracted knowledge at optimization run-time.
Development of metamodeling based optimization system for high nonlinear engineering problems.
HVAC system variables are optimized with gradient based optimization libraries.
The mathematical and numerical techniques based optimization of thermal system is not always possible due to plant complexities.
Inspired by the idea of interacting intelligent agents of a multi-agent system, we introduce a multi-agent based optimization method applied to the quadratic assignment problem (MAOM-QAP).
By using gradient-descent based optimization techniques, we solve the existing optimization problem and obtain the corresponding optimality system in a systematic manner.
Specifically, we compare two probabilistic methods, CCP based optimization (CCOpt) and sampling based optimization (MCOpt), against deterministic optimization (DetOpt).
This paper presents a new Life Cycle Cost Analysis (LCCA) system based on an optimization model considering pavement performance, called OPTIPAV, developed and programmed to help pavement designers to choose the best pavement structure for a road or highway.
