On the basis of author's former work, this paper presents an improved ant colony algorithm, namely adaptive ant colony algorithm. In the proposed algorithm, the value of evaporation rate p is adaptively changed a...
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ISBN:
(纸本)9781424450015;9780769539621
On the basis of author's former work, this paper presents an improved ant colony algorithm, namely adaptive ant colony algorithm. In the proposed algorithm, the value of evaporation rate p is adaptively changed and a minimum value pain is assigned. Thereby, the evaporation rate p is under control and will never be reduced to O. Then the paper applies the proposed algorithm to grid task scheduling. Comparing experimental results with the original algorithm show that the proposed algorithm is more efficient both in task scheduling efficiency and resource load.
The original differential evolution algorithm(DE) is a single-population differential evolution algorithm(SPDE).DE converges very quickly,and takes the advantage of *** improved DE has a better performance,but there a...
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ISBN:
(纸本)9781713800361
The original differential evolution algorithm(DE) is a single-population differential evolution algorithm(SPDE).DE converges very quickly,and takes the advantage of *** improved DE has a better performance,but there are premature problems in optimizing complex *** multi-population differential evolution algorithm(MPDE) is proposed to overcome premature problems in this *** optimal substitution strategy(OSS) and the elite immigration strategy(EIS) are studied to maintain the diversity of *** simulation concludes that MPDE converges faster than SPDE in optimizing the ultra-high dimensional problems,and the EIS is superior to the ***,the efficiency of DE is more effective than that of MPDE when the algorithms *** shows that multi-population strategy is a feasible and effective way to the premature problems of DE.
Orthogonal binary sequences play an important role in Multiple-input multiple-output (MIMO) radar. However, mainly due to mathematical difficulties, the synthesis problem of multiple binary sequences with low auto and...
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ISBN:
(纸本)9781510822023
Orthogonal binary sequences play an important role in Multiple-input multiple-output (MIMO) radar. However, mainly due to mathematical difficulties, the synthesis problem of multiple binary sequences with low auto and cross correlation sidelobes is still an open problem. In this paper, mismatched filter, which basically aims at reducing the sidelobe levels at the pulse compression output, is exploited and multiple binary sequences and mismatched filters are optimized by joint synthesis algorithms (JSA), based on an alternating direction method. JSA for minimizing the integrated sidelobe level (ISL) and peak sidelobe level (PSL) metrics are proposed, and the corresponding computation complexities are analyzed. Simulation results show the effectiveness of our proposed algorithms.
This paper establish a model to schedule trips down the Big Long *** goal is to develop the best schedule and determine the carrying capacity of the *** propose scheduling groups down river in order to maximize the ca...
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This paper establish a model to schedule trips down the Big Long *** goal is to develop the best schedule and determine the carrying capacity of the *** propose scheduling groups down river in order to maximize the campsite *** order to ensure each group enjoys a wilderness experience,this paper simplifies the model by the hypothesis that the travel groups behind could never catch up with the groups which are in front of *** article calculate the camp utilization ratio in a six-month season(the utilization of the campsite),and regard it as the objective ***,this paper determines the schedule to launch an optimal mix of trips,of varying duration and propulsion that will utilize the campsites in the best way possible.
A new version of progressive resolution optimizer (PRO) with an option of air cavity correction has been implemented for RapidArc volumetric-modulated arc therapy (RA). The purpose of this study was to compare the per...
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A new version of progressive resolution optimizer (PRO) with an option of air cavity correction has been implemented for RapidArc volumetric-modulated arc therapy (RA). The purpose of this study was to compare the performance of this new PRO with the use of air cavity correction option (PRO10_air) against the one without the use of the air cavity correction option (PRO10_no-air) for RapidArc planning in targets with low-density media of different sizes and complexities. The performance of PRO10_no-air and PRO10_air was initially compared using single-arc plans created for four different simple heterogeneous phantoms with virtual targets and organs at risk. Multiple-arc planning of 12 real patients having nasopharyngeal carcinomas (NPC) and ten patients having non-small cell lung cancer (NSCLC) were then performed using the above two options for further comparison. Dose calculations were performed using both the Acuros XB (AXB) algorithm with the dose to medium option and the analytical anisotropic algorithm (AAA). The effect of using intermediate dose option after the first optimization cycle in PRO10_air and PRO10_no-air was also investigated and compared. Plans were evaluated and compared using target dose coverage, critical organ sparing, conformity index, and dose homogeneity index. For NSCLC cases or cases for which large volumes of low-density media were present in or adjacent to the target volume, the use of the air cavity correction option in PRO10 was shown to be beneficial. For NPC cases or cases for which small volumes of both low-and high-density media existed in the target volume, the use of air cavity correction in PRO10 did not improve the plan quality. Based on the AXB dose calculation results, the use of PRO10_air could produce up to 18% less coverage to the bony structures of the planning target volumes for NPC cases. When the intermediate dose option in PRO10 was used, there was negligible difference observed in plan quality between optimizations
In this study, we developed the Allometric Scaling and Resource Limitations (ASRL) model by using the best GLAS tree heights to optimize the ASRL. At first, we obtained the best metric of GLAS tree heights by comparin...
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ISBN:
(纸本)9781467311601
In this study, we developed the Allometric Scaling and Resource Limitations (ASRL) model by using the best GLAS tree heights to optimize the ASRL. At first, we obtained the best metric of GLAS tree heights by comparing with LVIS tree heights in six sites. Then, the best metric GLAS tree heights were separately used to optimize ASRL model and test the accuracy of prediction heights from optimized ASRL model in sites scale and country scale. Validation result showed that predicted tree heights from optimized ASRL model had high accuracy.
Genetic algorithm(GA) has a good robust and global optimization *** this paper,a supercavitation regime problem is transformed into an equivalent shape optimization problem by defining the objective function as a squa...
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Genetic algorithm(GA) has a good robust and global optimization *** this paper,a supercavitation regime problem is transformed into an equivalent shape optimization problem by defining the objective function as a square error integral of pressure *** combining the commercial CFD soft ANSYS with GA,this problem has been solved *** show that genetic algorithm is feasible and effective used in supercavitation flow analysis,the method is good for the reduction of computational complexity and more *** the frame can be expanded to study the cavitator optimization in which the regime optimization can be as a sub-optimization.
Cross-enterprise collaborative project management is a new production management pattern due to economic *** most important characteristic is that the resources used in project are *** uncertainty of resources leads t...
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Cross-enterprise collaborative project management is a new production management pattern due to economic *** most important characteristic is that the resources used in project are *** uncertainty of resources leads to plan *** multi-enterprises' collaborative project plan should have robust adaptation and *** this paper,a new uncertain resourceconstrained planning and control model for multi-enterprises collaborative project is proposed,and its project scheduling optimization algorithm is developed as *** have been put into use in a multi-enterprises collaborative project management system,and worked successfully.
This paper presents an algorithm for optimal placement and size of the Distributed energy resources (DERs) considering system loss minimization and voltage profile improvement as objective functions. DERs- are the ene...
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ISBN:
(纸本)9781467349215
This paper presents an algorithm for optimal placement and size of the Distributed energy resources (DERs) considering system loss minimization and voltage profile improvement as objective functions. DERs- are the energy resources which contain renewable energy resources such as wind, solar and fuel cell and some artificial models like micro turbines, gas turbines, diesel engines, sterling engines, and internal combustion reciprocating engines. Combinations of DER studies and for every combination, indices, active and reactive losses and voltage profiles are studied. To optimize the objective function, new optimization technique called Bat algorithm(BA) is proposed. The Bat algorithm is tested on 37-bus distribution system with different load models like residential, Industrial, Commercial and Mixed loads. For all cases current injection based distribution load flow method is used.
As an important link of pattern recognition, pattern feature extraction and selection has been paid close attention by lots of scholars, and currently become one of the research hot spot in the field of pattern recogn...
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As an important link of pattern recognition, pattern feature extraction and selection has been paid close attention by lots of scholars, and currently become one of the research hot spot in the field of pattern recognition. Its main purpose is "Low Loss Dimensionality Reduction";it is generally divided into two parts, that is, linear pattern feature extraction and selection and nonlinear pattern feature extraction and selection. This article gives a general discussion of pattern feature extraction and selection, and introduces the frontier methods of this field, at last discusses the development tendency of pattern feature extraction and selection.
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