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[PDF] Top 20 An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning

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An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning

An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning

... of the TNEP corresponds to a mixed integer nonlinear programming ...due to the fact that such model includes nonlinear functions, as well as integer and real ...Furthermore, the ... See full document

13

Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm

Transmission network expansion planning based on hybridization model of neural networks and harmony search algorithm

... Transmission Network Expansion Planning (TNEP) is a basic part of power network planning that determines where, when and how many new transmission lines should be ... See full document

10

Evaluation of hybrid models for static and multistage transmission system planning

Evaluation of hybrid models for static and multistage transmission system planning

... of the electric system transmission ex- pansion plan is specify transmission lines and/or transform- ers that should be built in order for the system to operate in an ... See full document

9

Landmark-based approaches for plan recognition tasks

Landmark-based approaches for plan recognition tasks

... compares the results for the three plan recognition approaches, showing the total number of plan recognition problems used under each domain ...show the number of candidate goals |G|, ... See full document

76

The Research on an Algorithm of Three-Dimensional Topology Control of Wireless Sensor Network

The Research on an Algorithm of Three-Dimensional Topology Control of Wireless Sensor Network

... sent to max power Max Power, visible connections to the network topology is very ...(b) and 2 (f), respectively [4] GG3D and RNG3D in the topology ...ATC algorithm ... See full document

5

Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging.

Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging.

... shown to be promising to accelerate magnetic resonance imag- ...synthesis and analysis models. The synthesis model assumes that an image is a sparse combination of atom signals while ... See full document

19

Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem

Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem

... algorithms and genetic algorithms (GA), its most popular representative, are part of the research area of artificial intelligence inspired by the natural evolution theory and genetics, ... See full document

8

A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty

A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty

... From the table 1, we can see that for these problems, two kinds of methods can get good approximate ...optima. And it shows that the results obtained by the approach presented in this paper is ... See full document

7

The Impact of the Expansion of the Bolsa Familia Program on the Time Allocation of Youths And Their Parents Lia Chitolina Miguel Nathan Foguel Naercio Menezes-Filho

The Impact of the Expansion of the Bolsa Familia Program on the Time Allocation of Youths And Their Parents Lia Chitolina Miguel Nathan Foguel Naercio Menezes-Filho

... of the two main variable benefits of the program is conditioned on health and education ...old to have their growth monitored and vaccinations up-to-date and pregnant ... See full document

39

JISTEM J.Inf.Syst. Technol. Manag.  vol.12 número3

JISTEM J.Inf.Syst. Technol. Manag. vol.12 número3

... How to effectively use resources to satisfy customers and in the meantime reduce cost is one of the main issues in passenger railway ...related to passenger scheduling problem, ... See full document

20

Evolutionary design of wireless sensor networks based on complex networks

Evolutionary design of wireless sensor networks based on complex networks

... a genetic algorithm for design- ing a wireless sensor network based on complex network ...develop an heuristic approach based on genetic algorithms for finding a network ... See full document

6

An Analysis Of The Difference In Gender Level Of Cassava Production And Access To Land In Abia State Nigeria

An Analysis Of The Difference In Gender Level Of Cassava Production And Access To Land In Abia State Nigeria

... gender to refer to the widely shared expectations and norms within a society about appropriate male and female behavior, characteristics, and ...social and cultural ... See full document

5

A Genetic Algorithm for the Undirected Rural Postman Problem

A Genetic Algorithm for the Undirected Rural Postman Problem

... RPGA and the versions using PMX and OX crossovers. The first and main conclusion is that RPGA performs better than the versions using PMX and OX crossovers, both in what ... See full document

13

Fuzzy-controlled Rebroadcasting in Mobile Ad Hoc Networks

Fuzzy-controlled Rebroadcasting in Mobile Ad Hoc Networks

... [12], an efficient counter-based scheme was proposed which combines the merits of probability-based and counter-based algorithms using a rebroadcast probability value around ...[3,9] to yield ... See full document

5

J. Braz. Soc. Mech. Sci. & Eng.  vol.34 número3

J. Braz. Soc. Mech. Sci. & Eng. vol.34 número3

... force and selected machining parameters and demonstrated its ...rate and depth of cut in turning of SS 440 C stainless ...2009) to model tool wear in turning and proved the ... See full document

9

A Comparison of Discrete and Continuous Neural Network Approaches to Solve the ClassTeacher Timetabling Problem

A Comparison of Discrete and Continuous Neural Network Approaches to Solve the ClassTeacher Timetabling Problem

... institution. The three most common edu- cational timetabling problem categories are examination timetabling, course timetabling and class/teacher timetabling, as they are commonly ...called. The ... See full document

20

Desenvolvimento de Métodos Inteligentes de Carregamento e Balanceamento para Sistemas de Armazenamento

Desenvolvimento de Métodos Inteligentes de Carregamento e Balanceamento para Sistemas de Armazenamento

... Among the wide diversity of existing technologically mature batteries, lithium-ion (Li-ion) batteries have become popular because of their longevity, high energy density, high efficiency and lack of memory ... See full document

147

Addresses delivered in commemoration of Pan American Health Day

Addresses delivered in commemoration of Pan American Health Day

... Current collaboration among medical scientists of the United Nations to solve urgent wartime problems points the way to continuation and expansion of international [r] ... See full document

3

An Unsupervised Dynamic Image Segmentation using Fuzzy Hopfield Neural Network based Genetic Algorithm

An Unsupervised Dynamic Image Segmentation using Fuzzy Hopfield Neural Network based Genetic Algorithm

... In genetic algorithm, the population size of P is ...method, the FHNN is run for generating these P chromosomes is of size ...of the P chromosome is obtained by the FHNN ... See full document

8

Encryption and Decryption of Digital Image Using Color Signal

Encryption and Decryption of Digital Image Using Color Signal

... Many techniques for image encryption were employed in the past. They included selective bit plane encryption, fuzzy PN codes based on color image encryption, polarization encryption, data encryption, standard DES ... See full document

5

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