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For finding maximum likelihood estimates using equations 5 or 6, I used the general purpose optimization function optim in R [ 37].
The approach relies on effective general purpose optimization solvers for an optimal control policy and does not require repeated simulation of the system.
In a former paper we introduced a very effective new general purpose optimization principle.
The genetic algorithm is a general purpose optimization metaheuristic for solving complex optimization problems.
The solutions obtained by using a general purpose optimization program are presented.
The devised Benders decomposition framework outperforms a general purpose optimization solver on solving benchmark instances of the hub location literature.
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The proof-of-concept demonstrated the utility of such a platform as a hypothesis testing (experimental purposes) and design optimization (commercial purposes, as during bioreactor concept selection phase) tool.
Numerical examples show that the online computation of the proposed approach is one order of magnitude faster than the latest algorithm to compute the ray's intersection and two orders of magnitude faster than general-purpose optimization algorithms.
In some of them, the APP is formulated to minimize pathloss (or maximize coverage) and later solved by a general-purpose optimization algorithm (e.g., genetic algorithm [22], direct search method [23], simulated annealing [31], or heuristic algorithm [32]).
Furthermore, knowledge based reasoning is performed to capture the full optimization intent in order to create a fit-for-purpose optimization model, including both the optimization problem formulation and the solution strategy.
We present a general-purpose optimization algorithm inspired by "run-and-tumble", the biased random walk chemotactic swimming strategy used by the bacterium Escherichia coli to locate regions of high nutrient concentration The method uses particles (corresponding to bacteria) that swim through the variable space (corresponding to the attractant concentration profile).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com