scholarly journals Hybrid Water Cycle Optimization Algorithm With Simulated Annealing for Spam E-mail Detection

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 143721-143734 ◽  
Author(s):  
Ghada Al-Rawashdeh ◽  
Rabiei Mamat ◽  
Noor Hafhizah Binti Abd Rahim
Keyword(s):  
Simulated Annealing ◽  
Optimization Algorithm ◽  
Water Cycle ◽  
E Mail

scholarly journals A New Approach for Real Time Train Energy Efficiency Optimization

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2660 ◽  
Author(s):  
Agostinho Rocha ◽  
Armando Araújo ◽  
Adriano Carvalho ◽  
João Sepulveda
Keyword(s):  
Energy Efficiency ◽  
Simulated Annealing ◽  
Energy Consumption ◽  
Real Time ◽  
Optimization Algorithm ◽  
Normal Operation ◽  
Speed Profile ◽  
Railway Systems ◽  
Optimal Speed ◽  
Advisory System

Efficient use of energy is currently a very important issue. As conventional energy resources are limited, improving energy efficiency is, nowadays, present in any government policy. Railway systems consume a huge amount of energy, during normal operation, some routes working near maximum energy capacity. Therefore, maximizing energy efficiency in railway systems has, recently, received attention from railway operators, leading to research for new solutions that are able to reduce energy consumption without timetable constraints. In line with these goals, this paper proposes a Simulated Annealing optimization algorithm that minimizes train traction energy, constrained to existing timetable. For computational effort minimization, re-annealing is not used, the maximum number of iterations is one hundred, and generation of cruising and braking velocities is carefully made. A Matlab implementation of the Simulated Annealing optimization algorithm determines the best solution for the optimal speed profile between stations. It uses a dynamic model of the train for energy consumption calculations. Searching for optimal speed profile, as well as scheduling constraints, also uses line shape and velocity limits. As results are obtained in seconds, this new algorithm can be used as a real-time driver advisory system for energy saving and railway capacity increase. For now, a standalone version, with line data previously loaded, was developed. Comparison between algorithm results and real data, acquired in a railway line, proves its success. An implementation of the developed work as a connected driver advisory system, enabling scheduling and speed constraint updates in real time, is currently under development.

scholarly journals A Novel Coverage Optimization Strategy Based on Grey Wolf Algorithm Optimized by Simulated Annealing for Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yong Zhang ◽  
Li Cao ◽  
Yinggao Yue ◽  
Yong Cai ◽  
Bo Hang
Keyword(s):  
Wireless Sensor Networks ◽  
Simulated Annealing ◽  
Sensor Networks ◽  
Optimization Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Coverage Optimization ◽  
Grey Wolf Algorithm

The coverage optimization problem of wireless sensor network has become one of the hot topics in the current field. Through the research on the problem of coverage optimization, the coverage of the network can be improved, the distribution redundancy of the sensor nodes can be reduced, the energy consumption can be reduced, and the network life cycle can be prolonged, thereby ensuring the stability of the entire network. In this paper, a novel grey wolf algorithm optimized by simulated annealing is proposed according to the problem that the sensor nodes have high aggregation degree and low coverage rate when they are deployed randomly. Firstly, the mathematical model of the coverage optimization of wireless sensor networks is established. Secondly, in the process of grey wolf optimization algorithm, the simulated annealing algorithm is embedded into the grey wolf after the siege behavior ends and before the grey wolf is updated to enhance the global optimization ability of the grey wolf algorithm and at the same time improve the convergence rate of the grey wolf algorithm. Simulation experiments show that the improved grey wolf algorithm optimized by simulated annealing is applied to the coverage optimization of wireless sensor networks. It has better effect than particle swarm optimization algorithm and standard grey wolf optimization algorithm, has faster optimization speed, improves the coverage of the network, reduces the energy consumption of the nodes, and prolongs the network life cycle.

scholarly journals AVALIAÇÃO DA DISPONIBILIDADE HÍDRICA NA SUB-BACIA DO BOI BRANCO ATRAVÉS DO BALANÇO HÍDRICO CLIMATOLÓGICO E DE CULTIVO

Irriga ◽  
2017 ◽  
Vol 22 (1) ◽  
pp. 1-17
Author(s):  
Mariana Alexandre de Lima Sales ◽  
RODRIGO MÁXIMO SÁNCHEZ ROMÁN ◽  
LEONOR RODRÍGUEZ SINOBAS ◽  
RAIMUNDO NONATO FARIAS MONTEIRO ◽  
JOÃO VICTOR RIBEIRO DA SILVA DE SOUZA
Keyword(s):  
Water Balance ◽  
Water Deficit ◽  
Environmental Planning ◽  
Water Cycle ◽  
Crop Coefficient ◽  
Monthly Precipitation ◽  
Agricultural Planning ◽  
Historical Series ◽  
Average Monthly Precipitation ◽  
E Mail

AVALIAÇÃO DA DISPONIBILIDADE HÍDRICA NA SUB-BACIA DO BOI BRANCO ATRAVÉS DO BALANÇO HÍDRICO CLIMATOLÓGICO E DE CULTIVO  MARIANA ALEXANDRE DE LIMA SALES1; RODRIGO MÁXIMO SÁNCHEZ ROMÁN2; LEONOR RODRÍGUEZ SINOBAS3; RAIMUNDO NONATO FARIAS MONTEIRO4; JOÃO VICTOR RIBEIRO DA SILVA DE SOUZA5. 1 Tecnóloga em Irrigação e Drenagem, Doutoranda em Agronomia (Irrigação e Drenagem) – FCA/UNESP. Rua José Barbosa de Barros, 1780, CEP 18610-307, Botucatu – SP, e-mail: [email protected] Eng. de Irrigação e Drenagem, Prof. Doutor FCA/UNESP. Rua José Barbosa de Barros, 1780, CEP 18610-307, Botucatu, SP. Fone: (14) 3711-7100. E-mail: [email protected] Eng. Agrônoma, Profa. Doutora ETSIA/UPM, Ciudad Universitaria, 28040 Madri, Espanha. e-mail: [email protected] Tecnólogo em Recursos Hídricos/Irrigação, Doutor em Agronomia (Irrigação e Drenagem) – FCA/UNESP. Rua José Barbosa de Barros, 1780, CEP 18610-307, Botucatu – SP, e-mail: [email protected] Eng. Agrônomo, Doutorando em Agronomia (Irrigação e Drenagem) – FCA/UNESP. Rua José Barbosa de Barros, 1780, CEP 18610-307, Botucatu – SP, e-mail: [email protected].  1 RESUMO Uma das formas de contabilizar a quantidade de água de um determinado sistema é por meio do balanço hídrico, o qual é uma importante ferramenta para o processo de avaliação do ciclo da água em uma determinada região. O objetivo deste trabalho foi determinar o balanço hídrico na sub-bacia hidrográfica do Boi Branco-SP, para servir como ferramenta ao planejamento hidroagrícola e ambiental da região. Para o balanço hídrico climatológico, utilizaram-se dados da série histórica da região (1971 a 1995). Os dados de evapotranspiração foram estimados pelo método de Thornthwaite. O balanço hídrico climatológico mostrou déficit hídrico total anual de 10,1 mm, e um excedente de 319,7 mm, tendo no mês de janeiro um excedente de 92,6 mm, para a precipitação média mensal; com a precipitação efetiva mensal com probabilidade de 75%, déficit hídrico no solo é de 238,8 mm e o excedente 56,8 mm. Quando se adiciona a esses dados os das culturas implantadas na área de estudo, como coeficiente de cultivo e fator de depleção da umidade do solo, observa-se que todas as culturas do estudo apresentaram déficit hídrico em todos os meses em que estiveram no campo. Palavras-chave: Planejamento hidroagrícola, capacidade de água disponível no solo, evapotranspiração.  SALES, M. A. L.; SÁNCHEZ-ROMÁN, R. M.; SONOBAS, L. R.; MONTEIRO, R. N. F.; SOUZA, J. V. R. S.ASSESSMENT OF WATER AVAILABILITY AT BOI BRANCO WATERSHED   THROUGH CLIMATIC WATER BALANCE AND GROWING  2 ABSTRACT One way to calculate the amount of water in a determined system is by means of the water balance, an important tool for the assessment of the water cycle in a specific region. The main goal of this work was to establish the water balance in the watershed Boi Branco-SP, so that it can be used as a tool for the hydro-agricultural and environmental planning of the region. For the climatic water balance, data of the historical series of the region (1971 - 1995) were used. Evapotranspiration data were estimated by the Thornthwaite method. The climatic water balance showed  total annual water deficit  of 10.1 mm, and surplus of 319.7 mm, with January presenting surplus  of  92.6 in the average monthly precipitation; given that the effective monthly precipitation presenting probability of 75%,  water deficit  in the soil  is 238.8 mm and surplus is 56.8 mm. When these data are added to the ones of the crop, as a crop coefficient and soil humidity depletion factor, it is observed that all crops studied showed water deficit  in all the months covered. Keyword: Water agricultural planning, water capability available in the soil, evapotranspiration.

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