Genetic Algorithms for Antennas

Haupt, Randy L.

doi:10.1002/9780470294154.ch32

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…Neste mecanismo, a gota d'água inteligente prefere "escolher" os caminhos que têm solos baixos do que os caminhos que têm solos altos. Esse comportamento de escolha de caminho é implementado impondo uma distribuição aleatória uniforme nos solos dos caminhos disponíveis, para este trabalho utilizou-se como mecanismo a ferramenta da roleta, onde a probabilidade de um caminho ser escolhido é diretamente proporcional à qualidade do caminho em relação aos outros (Haupt;, 2004). Então, a probabilidade do próximo caminho a ser escolhido é inversamente proporcional aos solos dos caminhos disponíveis.…”

Section: Introductionunclassified

Algortimo Gotas D’água Inteligentes Aplicado Na Solução Do Problema Da Mochila Multidimensional

Carvalho,

Chaves,

Dos Santos

et al. 2021

Rev. Eletr. Cient. Inov. Tecnol.

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O algoritmo das gotas d’água inteligentes é uma técnica de otimização baseada no fluxo de água em rios, lagos e oceanos, a qual pode ser utilizada para solucionar o problema da mochila multidimensional. A principal característica deste método de otimização é a utilização de uma abordagem construtiva, por meio de uma população, que visa encontrar a solução ótima de um determinado problema. Baseando-se nas gotas de água que fluem na natureza, de modo que cada gota de água constrói uma solução atravessando no espaço de busca do problema e modificando seu ambiente, desta forma, levou-se em conta os parâmetros de velocidade e solo da gota alterados conforme o caminho de respostas que a mesma atravessa. Fez-se os testes e a validação do algoritmo desenvolvido mediante o software Matlab®, analisando o número mínimo de iterações para encontrar as respostas ótimas dos problemas e o tempo de simulação.

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Section: Introductionunclassified

Algortimo Gotas D’água Inteligentes Aplicado Na Solução Do Problema Da Mochila Multidimensional

Carvalho,

Chaves,

Dos Santos

et al. 2021

Rev. Eletr. Cient. Inov. Tecnol.

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Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin)

2018

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Reservoirs are recognized as one of the most efficient infrastructure components in integrated water resources management. At present, with the ongoing advancement of social economy and requirement of water, the water resources shortage problem has worsened, and the operation of reservoirs, in terms of consumption of flood water, has become significantly important. To achieve optimal reservoirs operating policies, a considerable amount of optimization and simulation models have been introduced in the course of recent years. Subsequently, the assessment and estimation that is associated with the operation of reservoir stays conventional. In the present study, the Soil and Water Assessment Tool (SWAT) models and a Genetic Algorithm model has been employed to two reservoirs in Ganga River basin, India in order to obtain the optimal reservoir operational policies. The objective function has been added to reduce the yearly sum of squared deviation from preferred storage capacity and required release for the irrigation purpose. The rule curves that were estimated via random search have been discovered to be consistent with that of demand requests. Thus, in the present case study, on the basis of the generated result, it has been concluded that GA-derived optimal reservoir operation rules are competitive and promising, and can be efficiently used for the derivation of operation of the reservoir.

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Soft-Computing-Based Optimization of Low Return Loss Multiband Microstrip Patch Antenna

Sarma

Sarmah

Sarma

et al. 2016

Handbook of Research on Natural Computing for Optimization Problems

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In this chapter, we report the outline of design and optimization of multiband antenna, the ground plane of which is introduced with a Complementary Split Ring Resonator (CSRR).The dimension of CSRR is optimized using a soft-computing tool like Artificial Neural Network (ANN) and evolutionary computing like Genetic Algorithm (GA). The proposed design of the multi-band frequency terminal antenna for high data rate applications is compact with low return loss and multiband in characteristics. The ANN and GA based optimizations improve the design considerably for applications in a range of wireless and mobile communication set-ups including Long Term Evolution-Advanced (LTE-A). The design has inset feed over microstrip line geometry for a frequency of 2.4 GHz. The dimension of the feed line is 7.64×14.89 mm. The microstrip antenna is designed over a FR4 epoxy substrate with dielectric constant,e_r=4.4.

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Genetic Algorithms for Antennas

Cited by 3 publications

References 38 publications

Algortimo Gotas D’água Inteligentes Aplicado Na Solução Do Problema Da Mochila Multidimensional

Algortimo Gotas D’água Inteligentes Aplicado Na Solução Do Problema Da Mochila Multidimensional

Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin)

Soft-Computing-Based Optimization of Low Return Loss Multiband Microstrip Patch Antenna

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