Examples of using Multi-objective in English and their translations into Portuguese
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The heuristic method is based on a multi-objective evolutionary algorithm.
The proposed multi-objective algorithm VNSM was based on the VNS heuristic combined with the local search VND algorithm.
A way to win this challenge is the utilization of exact multi-objective optimization methods.
Another way to solve multi-objective problems is through heuristic methods.
This work describes an approach to the initialization of multi-objective genetic algorithms mogas.
To the resolution of the multi-objective problems, the methods vary between exact and heuristic.
Currently, the model has evolved,with the variance of the optimization objective function for multi-objective optimization.
Among the countless VNS applied to the multi-objective optimization, we highlight, so called MOVNS.
The multi-objective genetic algorithms(especially the nsga ii) are appropriate techniques to solve this problem.
Recently, researchers have been addressing multi-objective problems and the use of hyper-heuristics.
This dissertation shows a methodology to design raman optical amplifiers using multi-objective optimization.
Next, a method was developed to solve multi-objective which is then applied to the reformulated problem.
Studies have been conducted related to the influence of partitions based on traditional ensembles and multi-objective ensemble.
So, this work proposes a resolution of multi-objective approach for the SPWA, using exact and heuristic methods.
In this thesis, interval evolutionary algorithms are proposed to find robust solutions to multi-objective optimization problems.
This approach is multi-objective and uses an evaluation model composede by evaluation function to assess the alp design.
Initially, the selection of suppliers is performed by mixed-integer multi-objective optimization, more specifically, by means of a goal programming model.
The real-world multi-objective optimization problems may be subjected to uncertainties which are often impossible to be avoided in practice.
The model fit was very good,illustrating the applicability of multi-objective calibration in exploring ideal area and to obtain ideal solutions.
Multi-objective search shows the true tradeoffs between multiple competing objectives-and almost all real-world problems have several objectives.
The available solutions,obtained through the multi-objective method, are closer to the reality, making the manager's job faster and more flexible.
As the first step, the ibis calibration for the semiaridnatural caatinga was performed, by the use of a multi-objective calibration algorithm, named optis.
So, we also presented a multi-objective heuristic model based on the VNS algorithm, exemplified by the Chart 1 on the section 3.
The goal programming method, similar to the weighted sum method,also consists in the transformation of the multi-objective problem to a mono-objective problem.
This work discusses the use of multi-objective optimization methods applied in solving the problem(availability versus cost) of a redundant system.
This thesis proposes an automatic method for developing functional andphysical architectures of control systems by multi-objective optimization based on systems models, attributes and metrics.
In this proposal, a multi-objective genetic algorithm, spea 2, was implemented with the goal of performing scans in order to generate efficient unique solutions.
This work discusses the use of traditional andhybrid optimization techniques in the context mono and multi-objective for optimization of the problem of pattern classification in ensembles.
This work proposes the use of multi-objective evolutionary algorithm on tables(aemt) for variable selection in classification problems, using linear discriminant analysis.
This approach is compared in this work with the traditional mono-objective evolutionary algorithm(ga), classical algorithms(pls and spa)and another classic multi-objective algorithm nsga-ii.