Showing 1-25 of 1,028 resultsfor "Index Terms":coefficient single objective function
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Adaptive PSO for Analog Circuit Space Exploration
2024 International Conference on Smart Electronics and Communication Systems (ISENSE)
Year: 2024 | Conference Paper |
Automation of analog circuits helps in reducing the design time and design effort. The circuit space exploration can be done by using optimization algorithms. The Particle Swarm Optimization (PSO) algorithm is applied to automate the two-stage operational amplifier design. The Single objective and Multi-objective Particle Swarm Optimization algorithms are analyzed. A variant of PSO called Adaptive...Show More
Optimizing PID controller tuning for greenhouse lighting control system by varying number of objectives
2014 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
Year: 2014 | Conference Paper |
Cited by: Papers (5)
Nowadays, usage of optimization methods and techniques in various applications is the key factor of increasing the systems efficiency and performance. In this paper, Proportional-Integral-Derivative (PID) controller optimization in greenhouse lighting control system is studied by tuning PID controller coefficients. The advantages and disadvantages of employing multi-objective optimization methods ...Show More
A GA-Based Method for Computing MOF-Weighting Coefficients Along with Optimal Location and Sizing of DG Sources in Distribution Systems
Mazen Abdel-Salam;Mohamed Th. El-Mohandes;Ali M. Yousef;Alaa E. Abdel-Hakim;Reham Ramadan
2019 21st International Middle East Power Systems Conference (MEPCON)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
Minimization of a weighted-sum multi-objective function (MOF) is aimed at obtaining the optimal locations and sizes of multi DG sources in distribution networks. The indices of the MOF are related to the characteristics of the distribution network including active power loss, deviation of bus voltage from nominal value and reactive power loss. In the literature, the weighting coefficients were ass...Show More
Application of Spotted Hyena Optimizer in Cogeneration Power Plant on Single and Multiple-Objective
2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
In this paper, a Spotted Hyena Optimizer (SHO) is employed in the context of addressing a constrained optimization problem to solve a cogeneration power plant (CGPP) problem through a classical approach. The paper examines the CGPP system through consideration of the 3E aspects (energy, exergy, and economy) through thermodynamic analysis. The equipment used in the system included a condenser, a tu...Show More
Research on optimal load in calculating wind power penetration
2010 8th World Congress on Intelligent Control and Automation
Year: 2010 | Conference Paper |
WPP(Wind Power Penetration) is an important indicator to ensure wind power system security. There were two types of method to calculate WPP in the past. One type of the methods which is used maximum load to calculate WPP is fast but unable to get practical result. Another type of method using stochastic simulation to calculate WPP could get practical result but is slow in calculating speed. To sol...Show More
New perspective of multi-objective synergy optimization of a construction project
2010 2nd IEEE International Conference on Information Management and Engineering
Year: 2010 | Conference Paper |
From the perspective of system science, multiple objectives of a construction project can be regarded as a system. The degree of coordination of the objective system is improved by multi-objective synergy optimization. The concepts of efficacy coefficient and the extent of system coordination are introduced, sub-objective system efficacy function of cost, time, quality and resources are set up sep...Show More
Comparative Study on Generation Right Trading Models for Supporting Renewable Energy Consumption
2019 IEEE 3rd International Electrical and Energy Conference (CIEEC)
Year: 2019 | Conference Paper |
Generation right trading between renewable generation units and thermal power units is a common practice in China. This paper performs comparative studies of generation right trading models with different objective functions, which may include the optimization of social benefits, energy conservation and emission reduction. Moreover, a multi-objective generation right trading model that combines th...Show More
Evolving Transcriptomic Profiles From Single-Cell RNA-Seq Data Using Nature-Inspired Multiobjective Optimization
Transcriptomic profiling plays an important role in post-genomic analysis. Especially, the single-cell RNA-seq technology has advanced our understanding of gene expression from cell population level into individual cell level. Many computational methods have been proposed to decipher transcriptomic profiles from those RNA-seq data. However, most of the related algorithms suffer from realistic rest...Show More
Research on Information System Cloud Computing Scheduling Method Based on Swarm Intelligence Algorithm
2023 3rd International Signal Processing, Communications and Engineering Management Conference (ISPCEM)
Year: 2023 | Conference Paper |
With the advancement of cloud computing technology, research on cloud computing task scheduling has become a hot topic. This paper mainly studies the cloud computing scheduling method of information systems based on swarm intelligence algorithm, including cloud computing scheduling model based on particle swarm optimization(PSO), improved Invasive Tumor Growth Optimization(ITGO) model structure, a...Show More
Single-objective optimization with gain scheduling control
2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
This article presents a new method for adjusting the gain-scheduling controller, using the ν-gap metric to reduce the number of gains in the gain-scheduling set and optimizing the proportional-integral-derivative (PID) values through single-objective optimization. For that, an algorithm was created with all the proposed steps, applying to a Peltier cell and comparing the results with two controlle...Show More
Multi-objective Operation of Community Integrated Energy Systems Based on NSGA-II
Zuogang Guo;Jinyong Lei;Zhiyong Yuan;Weikun Tian;Guanyu Song
2021 IEEE 4th International Electrical and Energy Conference (CIEEC)
Year: 2021 | Conference Paper |
The operation of community integrated energy systems (CIES) usually involves several optimal objectives and decision variables. Traditional evolutionary methods are difficult to solve the multi-objective optimization with large number of variables to be optimized. In this paper, an optimal CIES dispatching method based on NSGA-II is proposed for the multiple-objective operation. Objective function...Show More
Multi-objective Optimization Algorithm based on PTN Network Index System
Xing Li;Chunzhi Wang;Zaoning Wang;Aijun Liu;Yucheng Zhang;Yunfei Xiong
Packet Transport Network (PTN), as an efficient transmission network technology in mobile communications in the era of big data, is used by more and more communication operators. With the rapid increase in the number of users and the continuous decline in revenue per user, the existing PTN network must be optimized in all aspects. In the PTN network, the optimization of one indicator often affects...Show More
Stable-state optimal control for pulp washing process
2011 Seventh International Conference on Natural Computation
Year: 2011 | Conference Paper |
In order to solve the multi-objective optimal control of pulp washing process with long time delay, a new method is proposed in this paper. Pulp washing process optimization problem is often be described as a nonlinear constrained problem. By introducing adaptive penalty factor, the nonlinear constrained problem can be converted to an unconstrained problem. Then a stable model of pulp washing is e...Show More
Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions
2019 IEEE Congress on Evolutionary Computation (CEC)
Year: 2019 | Conference Paper |
Cited by: Papers (7)
For real-world engineering design optimizations, it is of great significance to find approximate optimal designs with least number of expensive functional evaluations. This paper proposes to use a surrogate-based multi-objective evolutionary algorithm (SBMO) to address this type of problems. The basic idea is to decompose a multi-objective optimization problem into a number of scalar optimization ...Show More
Application of Multi Objective Evolutionary Programming to Combined Economic Emission Dispatch Problem
2007 International Joint Conference on Neural Networks
Year: 2007 | Conference Paper |
Cited by: Papers (21)
This paper describes a new multi-objective evolutionary programming (MOEP) method to solve the combined economic emission dispatch (CEED) problem. CEED is a multi-objective optimization problem by considering the fuel cost and emission as the objectives. It is converted into single objective optimization problem using weighted sum method. Hence the MOEP is proposed by employing the non-dominated s...Show More
Image change detection based on cross-correlation coefficient by using Genetic Algorithm
2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics)
Year: 2012 | Conference Paper |
Cited by: Papers (2)
In this paper, a novel unsupervised change detection approach based on cross-correlation coefficient is proposed. The cross-correlation coefficient is a measure of the similarity between two variables. The change detection problem can be understood as the process to partition two input images into two distinct regions, namely “changed” and “unchanged”, according to the binary change detection mask...Show More
Optimization of 6.5 GHz CMOS Low Noise Amplifier Applying Multi-objective Firefly Algorithm
2023 5th Iranian International Conference on Microelectronics (IICM)
Year: 2023 | Conference Paper |
This paper demonstrates an optimal low-noise amplifier (LNA) design with applying Firefly Algorithm (FA). To optimize the noise figure (NF) and gain (similar to the input and output matching and linearity) the FA is charity, although validating entirely the design constraints. Subsequently, there are five objectives for optimizing; they may treat as multiobjective optimization. Weighted sum access...Show More
Simulation based multi-objective evolutionary algorithm for electronic reconnaissance satellites scheduling problem
2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS)
Year: 2009 | Conference Paper |
Cited by: Papers (1)
A multi-objective chance constrained programming model (MOCCPM) for electronic reconnaissance satellites scheduling problem (ERSSP) is presented. MOCCPM takes the uncertainties in the course of satellite electronic reconnaissance into account, as well as the capabilities and usage restrictions of the electronic reconnaissance satellites. Then a Monte Carlo simulation based multi-objective evolutio...Show More
A comparison study on three load dispatch models in power system
2011 International Conference on Machine Learning and Cybernetics
Year: 2011 | Conference Paper |
As more and more attention fixes on environmental protection, economic dispatch problem is no longer a pure problem of minimization of fuel consumption (operating costs) or purchasing electricity fee in power system, how to reduce the emissions of pollutants must be taken into consideration. This paper study comparatively three load dispatch models, they are respectively: (1) pollution emissions f...Show More
Composite single neural PID controller based on fuzzy self-tuning gain and RBF network identification
The 26th Chinese Control and Decision Conference (2014 CCDC)
Year: 2014 | Conference Paper |
Cited by: Papers (4)
Nonlinear, time-varying and uncertainty matter is an important issue in order to improve conventional PID control technology due to the rapid development of control technologies for a wide range of industries. Artificial neural PID controller such as the single neural PID controlling is a current interesting research topic because of its potential ability of auto-tuning by simulating the human bra...Show More
An implementation of the circuit multiobjective optimization with the weighted sum strategy and goal attainment method
2011 IEEE International Symposium of Circuits and Systems (ISCAS)
Year: 2011 | Conference Paper |
Cited by: Papers (2)
A robust implementation of the weighted sum strategy and goal attainment method is described, and a comparison of both methods is performed. While the weighted sum strategy is preferable if the problem is known to be convex, or if a smaller number of controlling parameters is advantageous, the goal attainment method provides a better control over accessed parts of the Pareto front, but only at the...Show More
An adaptive weight PSO for rolling schedules multi-objective optimization of tandem cold rolling
2009 IEEE International Conference on Automation and Logistics
Year: 2009 | Conference Paper |
Cited by: Papers (4)
In this paper, an adaptive weight particle swarm optimization is proposed for multi-objective optimization. And it is applied to rolling schedules multi-objective optimization of tandem cold rolling. According to the demands of actual rolling schedules designing, power distribution, rolling energy consumption and slip rate are selected as objective functions. Then the multi-objective model of roll...Show More
Bi-Objective Optimization of Information Rate and Harvested Power in RIS-Aided SWIPT Systems
The problem of simultaneously optimizing the information rate and the harvested power in a reconfigurable intelligent surface (RIS)-aided multiple-input single-output downlink multiuser wireless network with simultaneous wireless information and power transfer (SWIPT) is addressed. The beamforming vectors, RIS reflection coefficients, and power split ratios are jointly optimized subject to maximum...Show More
Multi-Objective Optimization Model of Electric Power Fine Construction Based on Multi-Objective Genetic Algorithm
2023 International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
A multi-objective genetic algorithm is proposed to solve the problem of accurate power generation based on multi-objective genetic algorithm. The mathematical model of load distribution is analyzed, and the single objective optimization problem with constraints is transformed into two objective function optimization problems: the total coal consumption function and the degree function that violate...Show More
Technologic parameter multi-objective optimization of gas quenching process using grey improved absolute degree of grey incidence method
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems
Year: 2009 | Conference Paper |
Axis-symmetric component is regarded as the research objective in this paper. Based on a model of phase heat transfer coefficient and a Box-Behnken experiment with five factors and three levels, the experiment results are fitted by stepwise regression method and response surface methodology. The response surface formulas are established, that fitted deformation degree, average equivalent residual ...Show More
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