multi objective genetic algorithm for resolving dynamic construction requirements under spatial temporal considerations
Construction requirements driven planning and scheduling
... 6.8 Concluding Remarks 178 Chapter Multi Objective Genetic Algorithm for Resolving Dynamic Construction Requirements under Spatial- Temporal Considerations 180 7.1 Introduction ... early construction input in planning the construction sequence Construction Requirements represent the key preconditions for construction and forms the basis for representing critical information ... these construction requirements represent the key preconditions for construction (Chua and Yeoh, 2011) This then forms the basis for representing critical information and construction knowledge; construction...
- 315
- 618
- 0
Multi objective genetic algorithm for robust flight scheduling
... 32 4.1 Multi- objective Optimization 32 ii 4.2 Multi- objective Genetic Algorithms 35 4.2.1 Genetic Algorithms 35 4.2.2 Multi- Objective Genetic Algorithms ... formulated as a multi- objective problem Chapter details the Multi- objective Genetic Algorithm (MOGA) procedure that is developed to solved the problem that was described Principles of multi- objective ... to multi- objective problems was first introduced by Rosenberg (1967), but this research area remained unexplored until recently 4.2 Multi- objective Genetic Algorithms 4.2.1 Genetic Algorithms Genetic...
- 118
- 187
- 0
An efficient genetic algorithm for the p median
... operators For example, for a problem with (n, p) = (100, 20), the algorithm terminates if 448 successive children fail in improving the best solution (For all of our test problems, we had n > 2p √ For ... computational effort 4.10 Algorithm The overall algorithm can be stated as follows Algorithm Generate an initial population of size P (n, p) as described in section 4.4 Initialize a variable for keeping ... could improve the performance on some problems by slowing down convergence We made no effort to customize the algorithm to the problems on hand, and used the same formulas for the population size...
- 22
- 605
- 0
Báo cáo hóa học: " 2DPCA fractal features and genetic algorithm for efficient face representation and recognition" pdf
... the simple genetic algorithms There are many algorithms of optimization used for different domains We have chosen genetic algorithm [17-19] to accelerate our fractal image coding algorithm We ... the Fourth International Conference on Genetic Algorithms, San Diego 1991 Wu M-S, Teng W-C, Jeng J-H, Hsieh J-G: Spatial correlation genetic algorithm for fractal image compression Fractals 2006, ... RMSE) 4) Genetic coding algorithm Genetic algorithms have been used previously to find solutions to the minimization problems related to the fractal inverse problem [18] Here, we describe the Genetic...
- 7
- 339
- 0
application of real coded genetic algorithm for ship hull surface fitting with a single non-uniform b-spline surface
... powerful tool for the hull form construction at the initial design stage Key words: Surface Fitting, Hull Form Reconstruction, Genetic Algorithm, Multimodal Optimization, Simultaneous Multi- Fitting ... to be as accurate as possible for the effective support of ship production as well as for numerical performance analysis A traditional method for ship hull form reconstruction is skinning operation ... techniques with multiple objectives have been widely used in the surface reconstruction process In recent years, the genetic algorithm (GA) has gained increasing attention as a multimodal optimization...
- 113
- 521
- 1
A MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM USING DIRECTIONS OF IMPROVEMENT AND APPLICATION
... based Multi- objective Evolutionary Algorithm Direction based Multi- objective Evolutionary Algorithm- II Non-Dominated Sorting Genetic Algorithm II Strength Pareto Evolutionary Algorithm Multi- objective ... Meaning Evolutionary Algorithm Genetic Algorithm Evolution Strategies Evolution Programming Genetic Programming Multi- objective Optimization Problem Multi- objective Evolutionary Algorithm Pareto ... Multi- objective Evolutionary Algorithm Based on Decomposition Multi- objective Genetic Algorithm Niched Pareto Genetic Algorithm Pareto-Archived Evolution Strategy Multi- objective Particle Swarm Optimization...
- 173
- 457
- 0
Large scale structural identification by multi civilization genetic algorithm approach
... Distributed Genetic Algorithm Multiple Population Genetic Algorithm Single Population Genetic Algorithm Master-Slave Distributed Genetic Algorithm Synchronous Master-Slave GA Fine-Grained Genetic Algorithm ... parallel genetic algorithm (PGA) Keywords: System Identification (SI); Structural System Identification; Structural Health Monitoring; Genetic Algorithms (GA); Local Search (LS); Parallel Genetic Algorithm ... shows the flow chart of the local search operator 2.4 Parallel Genetic Algorithm (PGA) The reasons for choosing parallel genetic algorithm are stated as follows: Firstly, evaluation and local...
- 121
- 203
- 0
OPTIMAL placement of FACTS devices by genetic algorithm for the increased load ability of a power system
... limits Then the objective function is computed for every individual of the population A biased roulette wheel is created from the values obtained after computing the objective function for all the ... FACTS Devices in Deregulated Electricty Market Using Genetic Algorithms” 0-7803-8718X/04/2$ 20.00 © 2004 IEEE [15] D.E.Goldberg, “ Genetic Algorithms in search, optimization & Learning”, Addison-wesley ... system performance This approach could be a new technique for the installation of FACTS devices in the transmission system REFERENCES [1] Fig Variation of Total Cost with Generation for 160 %...
- 6
- 541
- 0
A genetic algorithm for power aware virtual machine allocation in private cloud
... of each chromosome as in the Algorithm A Genetic Algorithm for Power-Aware Virtual Machine Allocation 187 Algorithm Construct fitness function powerOfDatacenter := For each host ∈ collection of ... utilization) [8][2][5] The objective scheduling is minimizing energy consumption in fulfillment of maximum requirements of n VMs 2.4 The GAPA Algorithm The GAPA, which is a kind of Genetic Algorithm (GA), ... Modified Best-Fit Decreasing (MBFD) algorithm, which is best-fit decreasing heuristic, for power-aware VM allocation and adaptive threshold-based migration algorithms to dynamic consolidation of VM resource...
- 9
- 442
- 0
GIS and ant algorithm for multi objective siting of emergency facilities
... Routing 2.4 Ant Algorithms 19 22 2.4.1 Introduction to Ant Algorithms 22 2.4.2 Ant Algorithm Family 27 Chapter A Generic GIS-supported Multi- objective Optimization Model 3.1 Multi- objective Optimization ... Chapter 44 An Ant Algorithm for Multi- objective Siting of Emergency Facilities 4.1 Overview of the Ant Algorithm 45 4.2 Pheromone Matrix and the Updating Rules 46 4.3 Solution Construction 49 IV ... provides a platform for spatial data collection, retrieval and storage, and supports many elementary and advanced spatial analytical functions for location studies Not only can GIS be used for model...
- 99
- 343
- 0
Optimal placement of horizontal - and vertical - axis wind turbines in a wind farm for maximum power generation using a genetic algorithm
... Brief description of genetic algorithm In this section we provide a brief introduction to the genetic algorithm Genetic algorithms (GA) are a class of stochastic optimization algorithms inspired ... median objective valuses for Case I (b) Standard deviations for Case I (c) Best, mean and median objective values for Case II (d) Standard deviations for Case II Figure Convergence history of the objective ... 937 (c) Best, mean and median objective values for Case IV (d) Standard deviations for Case IV Figure Convergence history of the objective function (total power/cost) for VAWT wind farm using GA...
- 12
- 635
- 1
A dynamic programming algorithm for RNA structure
... wx
k 1Y j M stands for the score for generating a multiloop The Turner thermodynamic rules also penalize an amount for each closing pair in a multiloop By starting a multiloop we are specifying ... little thermodynamic information available for regular multiloops, let alone for pseudoknots We had to tune by hand the parameters related to pseudoknots For some non-nested structures we multiplied ... introduced for the nested algorithm (that ISs of y > or multiloops are described in some approximated form) Despite these limitations, this truncated pseudoknot algorithm seems to be adequate for the...
- 16
- 688
- 0
Báo cáo hóa học: " A novel simultaneous dynamic range compression and local contrast enhancement algorithm for digital video cameras" potx
... Therefore, expression (3) presents a basic form in the spatial domain for image enhancement with local contrast preservation 2.2 The general form of SDRCLCE algorithm In this section, the basic form ... Retinex-based algorithms are usually computational expensive and require hardware acceleration to achieve real-time performance Monobe et al [17] proposed a spatially variant dynamic range compression algorithm ... develop an efficient spatially variant algorithm for both dynamic range compression and local contrast enhancement This problem motivates us to derive a new simultaneous dynamic range compression...
- 19
- 353
- 0
báo cáo hóa học: " A novel simultaneous dynamic range compression and local contrast enhancement algorithm for digital video cameras" pptx
... Therefore, expression (3) presents a basic form in the spatial domain for image enhancement with local contrast preservation 2.2 The general form of SDRCLCE algorithm In this section, the basic form ... Retinex-based algorithms are usually computational expensive and require hardware acceleration to achieve real-time performance Monobe et al [17] proposed a spatially variant dynamic range compression algorithm ... develop an efficient spatially variant algorithm for both dynamic range compression and local contrast enhancement This problem motivates us to derive a new simultaneous dynamic range compression...
- 19
- 463
- 0
Báo cáo hóa học: " Research Article Prerouted FPGA Cores for Rapid System Construction in a Dynamic Reconfigurable System" pot
... , for connecting nonneighboring cores The reservation is uniform across every wire channel in the core to maintain a uniform tunneling bandwidth It is proposed that policies are developed for ... version of an FPGA accelerator for the Smith-Waterman algorithm used for pairwise alignment of DNA sequences with a linear gap penalty and an 8-bit datapath [28] The performance of this application ... coarse-grained but are instead multigrained, including embedded processors, arithmetical units, and memory as well as configurable cells of different complexity Therefore, dynamic allocation methods...
- 7
- 307
- 0
Báo cáo sinh học: "An ’average information’ restricted maximum likelihood algorithm for estimating reduced rank genetic covariance matrices or covariance functions for animal models with equal design matrices" pot
... design matrices for all traits; see Jensen and Mao (1988) for a review For these, a canonical decomposition of the genetic and residual covariance matrix together yields a transformation to uncorrelated ... subvector m of a for trait m, ie, b is simply a weighted sum of solutions for animals in the data i i Ek¡ For O (J&dquo; and y - Xb - Zu the vector of residuals for [1] with subvectors t m for m 1, , ... Average information = ) * f (L thus V * = ) * Var(y blockdiagonal for traits, [20] l k bi are zero except for subvectors for traitsk and l, bi si and bi sk , with Sj standing in turn for A!Zoa!...
- 20
- 317
- 0
Báo cáo y học: " Introduction of an agent-based multi-scale modular architecture for dynamic knowledge representation of acute inflammation" ppt
... information/knowledge beyond the realm of solitary cells that underlies the core need for a multi- scale modeling platform Therefore, the initial design aspects of a multi- scale architecture for ... results in population-level dynamics derived from the generation of these multiple trajectories, population dynamics that, when viewed in aggregate, form the nested, multi- scalar/ hierarchical ... goal More specifically, computer modeling can be seen as a means of dynamic knowledge representation that can form a basis for formal means of testing, evaluating and comparing what is currently...
- 20
- 191
- 0
Báo cáo sinh học: " A fast algorithm for BayesB type of prediction of genome-wide estimates of genetic value" pps
... advantageous if a much faster algorithm for the calculation of BayesB GW-EBV would be available Thus, our aim here is to present a fast nonMCMC based algorithm for the calculation of BayesB type ... solution, e.g g = 0, the algorithm performs within each iteration the following steps: For all SNPs i = 1, , m, Step 1: calculate 'adjusted' records, y-i, which are corrected ˆ for all the other SNPs ... Heuristically this occurs because for small there are only few non zero marker effects, but those present are large; therefore E Page of 10 (page number not for citation purposes) Genetics Selection Evolution...
- 10
- 386
- 0
Báo cáo sinh học: " A method for the dynamic management of genetic variability in dairy cattle" pot
... Colleau et al genetic gains, a direct impact on performances due to inbreeding depression, especially for functional traits, and an increased expression of genetic defects Quantitative geneticists ... by inflating genetic parameters [14, 20, 37] or by decreasing the weight of familial information vs the weight of individual information [11, 20, 34, 41] or by including penalties for individual’s ... females still too young for breeding Then, the best solution for matings can be formally established However, it would be quite difficult to find out the corresponding global solution for real populations,...
- 22
- 266
- 0
Optimal computing budget allocation for multi objective simulation optimization
... Computing Budget Allocation MOEA : Multi- objective Evolutionary Algorithm MOGA : Multi- objective Genetic Algorithm MOEDA : Multi- objective Estimation of Distribution Algorithm xi Chapter Introduction ... Budget Allocation 5.3.1 Multi- objective Genetic Algorithms with Optimal Computing Budget Allocation 5.3.2 Multi- objective Estimation of Distribution Algorithms with Optimal Computing ... by multiple objective measures Underlying differences exist in comparing designs with multiple objective measures from that with a single objective, thus the sampling allocation techniques for...
- 134
- 485
- 0
Tìm thêm: xác định các mục tiêu của chương trình xác định các nguyên tắc biên soạn khảo sát các chuẩn giảng dạy tiếng nhật từ góc độ lí thuyết và thực tiễn khảo sát chương trình đào tạo của các đơn vị đào tạo tại nhật bản khảo sát chương trình đào tạo gắn với các giáo trình cụ thể xác định thời lượng học về mặt lí thuyết và thực tế tiến hành xây dựng chương trình đào tạo dành cho đối tượng không chuyên ngữ tại việt nam điều tra với đối tượng sinh viên học tiếng nhật không chuyên ngữ1 khảo sát các chương trình đào tạo theo những bộ giáo trình tiêu biểu xác định mức độ đáp ứng về văn hoá và chuyên môn trong ct phát huy những thành tựu công nghệ mới nhất được áp dụng vào công tác dạy và học ngoại ngữ mở máy động cơ lồng sóc hệ số công suất cosp fi p2 đặc tuyến mômen quay m fi p2 đặc tuyến tốc độ rôto n fi p2 động cơ điện không đồng bộ một pha sự cần thiết phải đầu tư xây dựng nhà máy thông tin liên lạc và các dịch vụ chỉ tiêu chất lượng theo chất lượng phẩm chất sản phẩm khô từ gạo của bộ y tế năm 2008 chỉ tiêu chất lượng 9 tr 25