evolutionary algorithm multiobjective optimization
MOEA/D-GO for Fragmented Antenna Design
... hybrid multiobjective evolutionary algorithm, MOEA/D-GO (Multiobjective Evolutionary Algorithm Based on Decomposition combined with Enhanced Genetic Operators), is proposed for ...
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Overview of Multiobjective Optimization Methods in in Silico Metabolic Engineering
... earliest multiobjective optimization in enhancing the production of succinic acid is carried out by ...Pareto Evolutionary Algorithm 2 (SPEA2) and Non-Dominated Sorting Genetic ...
7
A tutorial on multiobjective optimization: fundamentals and evolutionary methods
... an algorithm design, in which the choice of indicators is ...Estimation Algorithm (HypE) (Bader and Zitzler 2011) uses a Monte Carlo Estimation for the hypervolume in high dimensions and thus it can be used ...
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The Constrained Mean Semivariance Portfolio Optimization Problem with the Support of a Novel Multiobjective Evolutionary Algorithm
... Portfolio optimization is the process of choosing the as- sets and their proportions, so that it is attained the maxi- mum profitability for the risk ...portfolio optimization problem with the use of ...the ...
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Economic Operation of Self Sustained Microgrid Optimal Operation by Multiobjective Evolutionary Algorithm Based on Decomposition
... Total operation cost of the proposed method has been compared with the well-known algorithms such as particle swarm optimization (PSO) and genetic algorithm (GA) methods. The results are reported in Table ...
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Multiobjective evolutionary optimization of water distribution systems : exploiting diversity with infeasible solutions
... tionary optimization algorithms for water distribution ...the optimization algorithm to be ef fi cient, stable and ...based optimization problem involved multiple variable head supply nodes, 29 ...
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Test Case Generation from Activity Diagram Using Multiobjective Evolutionary Algorithm
... different evolutionary algorithms and UML based testing has further shown that test cases can be successfully generated covering single or multiple objectives like reduction in time, cost, increased fault count ...
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Local Search Inspired Rough Sets for Improving Multiobjective Evolutionary Algorithm
... new optimization algorithm, and the proposed algorithm operates in two ...one, multiobjective version of genetic algorithm is used as search engine in order to generate approximate true ...
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Evolutionary Multiobjective Optimization for Adaptive Dataflow-based Digital Predistortion Architectures
... novel evolutionary algorithm framework for multiobjective optimization of DPD ...proposed multiobjective optimization framework in deriving efficient DPD configurations for run- ...
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A maximal clique based multiobjective evolutionary algorithm for overlapping community detection
... based multiobjective evolutionary algorithm (MOEA) for overlapping community ...this algorithm, a new representation scheme based on the intro- duced maximal-clique graph is ...the ...
15
Evolutionary Multiobjective Optimization Algorithms For Induction Motor Design – A Study
... Genetic Algorithm (NSGA): This algorithm is suggested by Srinivas and Deb [19] and it is known as Non-dominated Sorting Genetic Algorithm ...The algorithm of the NSGA is not very efficient, ...
7
Navigation in multiobjective optimization methods
... or evolutionary multiobjective optimization algorithm is used to pre-compute a well-spread Pareto set; for a recent review on evolutionary-based interactive and a posteriori decision ...
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Multi objective Flexible Job Shop Scheduling Optimization Using BFOA
... foraging optimization algorithm (ABFOA) for solving multiobjective flexible job-shop scheduling problem ...foraging optimization algorithm (BFOA) is a new bio-inspired ...
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A novel multiobjective evolutionary algorithm based on regression analysis
... Evolutionary algorithm has become an increasingly popular design and optimization tool in the last few years ...ary algorithm, there are still many new areas that needed to be explored with ...
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Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization
... engineering optimization problems require consideration of more than one ...objective optimization is to find the best solution with respect to the objec- tive ...In multiobjective ...
39
Fuzzy Preference Incorporated Evolutionary Algorithm for Multiobjective Optimization
... the multiobjective optimization problem into single objective optimization problem, in such a way that all the objective functions except one will be put into a constraint set by putting maximum ...
5
Hyperspectral classification optimization using multiobjective evolutionary algorithm
... The development of hyperspectral imagers provides an avenue to exploit it as a bio-optical taxonomic identification tool. In order to classify the species based on their spectral characteristic, spectral similarity ...
83
Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms
... Convex hull based sorting without redundancy strategy was fi rst proposed in [7], which has a good performance to deal with binary classi fi cation problems. The convex hull based sorting approach is extended to three ...
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An evolutionary algorithm with double-level archives for multiobjective optimization
... This algorithm, after decomposing an MOEA problem into mul- tiple single-objective scalar optimization problems, optimizes all the scalar objectives simultaneously using only single- objective ...
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Generating Epsilon Efficient Solutions in Multiobjective Optimization by Genetic Algorithm
... new evolutionary method of generating epsilon-efficient solu- tions of a continuous multiobjective programming ...genetic algorithm with some de- rived probabilistic stopping criteria to obtain all ...
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