In this paper, a new method is presented for stochastic multi-criteria decision making (SMCDM) problem with incomplete weight information based on the traditional idea of TOPSIS method. In this approach, the SMCDM pro...
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This paper proposes a new parallel search algorithm using evolutionary programming and quasi-simplex technique (EPQS). EPQS produces the offspring from three ways in parallel: 1) Using the Gaussian mutation, 2) Using ...
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ISBN:
(纸本)0646423134
This paper proposes a new parallel search algorithm using evolutionary programming and quasi-simplex technique (EPQS). EPQS produces the offspring from three ways in parallel: 1) Using the Gaussian mutation, 2) Using the Cauchy mutation, and 3) Using the quasi-simplex techniques. The quasi-simplex technique uses the ideal of classical simplex technique and produces four prospective individuals by using the reflection, expansion and compression operations. EPQS selects the parents for the next generation from all the parents and offspring. EPQS takes the diversity of offerings into consideration by generating the offspring from as many as possible ways while it maintains a substantial convergence rate. Experimental studies on six typical benchmark functions have shown that the proposed algorithm is more effective than the competing algorithms.
Analytical sensitivities of panel flutter constraints with respect to panel shape as well as thickness and material properties are derived and numerically tested. Cases of fixed in-plane loads and cases in which in-pl...
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Using a newly developed direct optimization scheme, several optimal three dimensional orbital transfer problems are solved for the thrust-limited spacecraft. The methodology of direct collocation and nonlinear program...
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This paper presents new methods for superstructure heat exchanger network synthesis (HENS) and mass exchanger network synthesis (MENS). The techniques developed in this study explore the use namely supply temperatures...
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The unified power flow controller (UPFC) is one of the most promising Flexible AC Transmission Systems (FACTS) devices for the load flow control. Simultaneous optimisation of location and parameters for UPFCs is an im...
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The unified power flow controller (UPFC) is one of the most promising Flexible AC Transmission Systems (FACTS) devices for the load flow control. Simultaneous optimisation of location and parameters for UPFCs is an important issue when the given number of UPFCs is applied to the power system with the purpose of increasing system loadability. This paper presents a mathematical model about optimal location and parameters of UPFCs to maximise the system loadability subject to the transmission line capacity limits and specified voltage level. An improved computational intelligence approach: self-adaptive evolutionary programming (SAEP) is used to solve the nonlinear programming problem presented above for better accuracy. Case studies of the IEEE 30- and 118-bus systems using the proposed model and technique demonstrate that the proposed mathematical model is corrective and efficient. Furthermore, steady-state performance of power system can be effectively enhanced due to the optimal location and parameters of UPFCs.
The residual statics problem can be posed as the determination of surface-consistent time-shifts that maximize the power of stacked data. Exact optimization of this highly nonlinear problem is, however, intractable ev...
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nonlinear programming (NLP) filter methods are a recent development In trust region sequential quadratic programming (SQP) algorithms. The NLP filter is a bi-objective representation of the two competing aims to minim...
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ISBN:
(纸本)1563478234
nonlinear programming (NLP) filter methods are a recent development In trust region sequential quadratic programming (SQP) algorithms. The NLP filter is a bi-objective representation of the two competing aims to minimize the objective function and to satisfy the constraints. It replaces the penalty merit function as a criterion in trust region SQP for the acceptance or rejection of trial steps. The filter can also be used to the advantage of many a sequential approximate optimization (SAO) method in structural and multidisciplinary optimization. Accordingly, we cast gradient-based SAO algorithms in the filter-SQP algorithmic framework of Fletcher, Leyffer, and Toint. The resultant filter-SAO method is then applied to some well-known structural optimization test problems, using several popular engineering approximation functions, namely the linear, reciprocal, conservative, and spherical quadratic approximations. The test problems confirm the effectiveness of the filter for use in SAO.
A global permanent magnet synchronous machine (PMSM) loss minimization control method is proposed based on nonlinear optimization in this paper. A look-up table based PMSM flux-linkage model is introduced to account f...
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This work explores the use of a cooperative optimization algorithm, known as 'local pursuit', as a numerical tool for computing optimal control-trajectory pairs. Local pursuit is inspired by the foraging activ...
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