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[PDF] Top 20 Evolving balanced decision trees with a multi-population genetic algorithm

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Evolving balanced decision trees with a multi-population genetic algorithm

Evolving balanced decision trees with a multi-population genetic algorithm

... accordance with the given fitness function, they can generally optimize solutions regarding a single criterion, which is usually the predictive performance (such as accuracy or ... See full document

8

A MULTI-POPULATION GENETIC ALGORITHM FOR TREE-SHAPED NETWORK DESIGN PROBLEMS

A MULTI-POPULATION GENETIC ALGORITHM FOR TREE-SHAPED NETWORK DESIGN PROBLEMS

... of trees-shaped problems, for instance in (Fontes and Gonc¸alves, 2007) the authors address problems in- cluding flows and with general nonlinear cost func- ...a with maximum number of arcs on each ... See full document

6

Evolving Decision-Tree Induction Algorithms with a Multi-Objective Hyper-Heuristic

Evolving Decision-Tree Induction Algorithms with a Multi-Objective Hyper-Heuristic

... EA population are said to comprise the estimated Pareto front, which is an estimation of the true, unknown Pareto ...subjective decision made a priori, before the learning algorithm is ...associated ... See full document

8

A genetic algorithm to solve a multi-product distribution problem

A genetic algorithm to solve a multi-product distribution problem

... initial population. We need the population parameters, ...the population as the transport ...the algorithm, the chromosomes are composed of two ...the decision of whether to send or not ... See full document

82

A Multi-Population Hybrid Genetic Programming System

A Multi-Population Hybrid Genetic Programming System

... system with basic configurations was able to keep the performance in training and unseen error of the standalone versions, or even improve in some ...cases. With regards to size, this strategy is not ... See full document

77

The Eigen-distribution for Multi-branching Trees

The Eigen-distribution for Multi-branching Trees

... AND-OR trees. We extend the study to a multi-branching case. By balanced multi-branching, we mean that all the nonterminal nodes at the same level have the same number of children and all ... See full document

6

A NEW GENETIC ALGORITHM BASED SCHEDULING ALGORITHM FOR THE LTE UPLINK

A NEW GENETIC ALGORITHM BASED SCHEDULING ALGORITHM FOR THE LTE UPLINK

... posed algorithm should be able to meet the QoS requirements of different applications, considering the contiguity constraint for RB assignment, while presenting a satisfactory execution ... See full document

122

Multi-attribute choice with ordinal information: a comparison of different decision rules

Multi-attribute choice with ordinal information: a comparison of different decision rules

... This paper also uses Monte Carlo simulations to compare decision rules, with two innovative features. On the one hand, besides considering the rules previously studied (ROC weights, central value, maximin, ... See full document

10

A New Methodology for Neutrosophic Multi-attribute Decision-making with Unknown Weight Information

A New Methodology for Neutrosophic Multi-attribute Decision-making with Unknown Weight Information

... the decision maker takes the form of single-valued neutrosophic set (SVNS) which is defined by Wang et ...studied multi-criteria decision-making problem under SVNS ...for multi-criteria ... See full document

9

Genetic Algorithm for Shipping Route Estimation with Long-Range Tracking Data

Genetic Algorithm for Shipping Route Estimation with Long-Range Tracking Data

... the Genetic Algorithm effectively “learns” during its execution on a real training ...the population taken from generation 0 to 80 show how the algorithm is gradually capable of selecting a ... See full document

80

A GENETIC ALGORITHM FOR THE ONE-DIMENSIONAL CUTTING STOCK PROBLEM WITH SETUPS

A GENETIC ALGORITHM FOR THE ONE-DIMENSIONAL CUTTING STOCK PROBLEM WITH SETUPS

... search algorithm uses the neighborhood obtained by perturbing one cutting pattern in the current set of patterns, where the perturbations are done by utilizing the dual solution of the auxiliary Linear Programming ... See full document

23

Optimized Crossover Genetic Algorithm for Vehicle Routing Problem with Time Windows

Optimized Crossover Genetic Algorithm for Vehicle Routing Problem with Time Windows

... This representation is unique and one string can only be decoded to one solution. It is a 1-to-1 relation. The last customer visited in route i is linked with the first customer visited in route i+1 to form a ... See full document

7

A hybrid multi-objective genetic algorithm for scheduling heterogeneous workover rigs on onshore oil fields

A hybrid multi-objective genetic algorithm for scheduling heterogeneous workover rigs on onshore oil fields

... comparison with the exact solution also revealed the prioritization of the genetic algorithm in exploring solutions in which the amount of workover rigs to be scheduled in the individual is close to ... See full document

90

A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls

A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls

... for multi-objective problems were presented in Jozefowiez et ...the multi-objective evolutionary algorithms was proposed by Zhou et ...the multi-objective version of the ...A multi-objective ... See full document

14

BASELINE ESTIMATION ALGORITHM WITH BLOCK ADJUSTMENT FOR MULTI-PASS DUAL-ANTENNA INSAR

BASELINE ESTIMATION ALGORITHM WITH BLOCK ADJUSTMENT FOR MULTI-PASS DUAL-ANTENNA INSAR

... For topographic mapping, the dual-antenna airborne InSAR systems have been researched in many countries. The first European airborne single-pass interferometric SAR experiment for topographic applications was performed ... See full document

7

Coding mode decision algorithm for binary descriptor coding

Coding mode decision algorithm for binary descriptor coding

... solution with two coding modes is proposed: an Intra mode, where each descriptor is coded individually without any reference to other descriptors, and an Inter mode, where each descrip- tor is differentially ... See full document

5

Population Genetic Analyses of the Fungal Pathogen Colletotrichum fructicola on Tea-Oil Trees in China.

Population Genetic Analyses of the Fungal Pathogen Colletotrichum fructicola on Tea-Oil Trees in China.

... One of the major host plants of CGSC in China is the tea-oil tree Camellia oleifera [10,12]. C. oleifera is native to China and is cultivated in many parts of southern China [12,20,21]. This plant has been grown for over ... See full document

24

Detection and Extraction of Videos using Decision Trees

Detection and Extraction of Videos using Decision Trees

... using decision tree ...using Decision Trees) system is for improving the indexing and retrieval of multimedia ...C4.5 Decision tree algorithm [3] which is used for managing both ... See full document

5

Comparison of PID Controller Tuning Methods with Genetic  Algorithm for FOPTD System

Comparison of PID Controller Tuning Methods with Genetic Algorithm for FOPTD System

... transducers with a controller, that forms a closed loop system leads to a stable and effective ...deals with control of in the process tank and comparative analysis of various PID control techniques and ... See full document

7

A new method for feature selection based on fuzzy similarity measures using multi objective genetic algorithm

A new method for feature selection based on fuzzy similarity measures using multi objective genetic algorithm

... The theory of fuzzy sets, proposed by Zadeh [3], has gained successful applications in various fields. Measures of similarity between fuzzy sets, as an important content in fuzzy mathematics, have gained attention from ... See full document

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