Sentence examples for optimization and heuristics from inspiring English sources

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Current sibling reconstruction techniques fall into three categories: likelihood estimation, combinatorial objective optimization, and heuristics.

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The optimization and heuristic approaches are tested on problem instances of various sizes.

The matrices can be incorporated with G to further assist the sectionalizing planning for optimization and heuristic method.

GA categorizes as a class of evolutionary algorithms (EA), which generate solutions to optimization and heuristic problems by techniques inspired by natural evolution, such as mutation, selection, and crossover.

Comparisons between this new expert system and 14 existing optimization and heuristic models confirm that the newly developed expert system in this paper can always compete with most of the optimization models.

The CMA-ES designed fixed structure H∞ loop-shaping controller is compared with the traditional H∞ loop shaping controller, non-smooth optimization and Heuristic Kalman Algorithm (HKA) based fixed structure H∞ loop shaping controllers in terms of stability margin.

Optimization and heuristic methods for the design of medium to large storage area networks (SANs) are in the early stages of development, but are required if large clustered storage systems are to become a viable alternative to expensive monolithic storage.

We proposed an optimization and heuristic algorithm, that is, simulated annealing hybrid genetic algorithm, which is named SAGA.

Simulated annealing (SA) as an optimization and heuristic algorithm mimics certain thermodynamic principles of producing an ideal crystal, which solve large-scale optimization problems in order to achieve a global optimal solution [ 22].

We identified the basic components and discussed in detail their interface and behavior (functions) in a typical forest management planning process with three distinct modeling approaches; simulation, optimization and meta heuristics.

We established OO management design framework which is both generic enough to provide the fundamental services to any types of forest management modeling such as simulation optimization and meta heuristics – however, we demonstrated the latter – and capable of providing specific services such as handling forest development patterns, forming strategies, forecasting and reporting forest changes.

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