On the Multi-Level Unit Load Formation Model

2013 ◽  
Vol 581 ◽  
pp. 519-526 ◽  
Author(s):  
Béla Illés ◽  
Gabriella Bognár
Keyword(s):  
Transport Processes ◽  
Optimization Process ◽  
Objective Functions ◽  
Formation Model ◽  
Unit Load ◽  
Multi Level ◽  
Major Factors

One of the most important issues in storage and transport processes is the formation of unit loads. Our main goal is to investigate the homogeneous and multi-level unit load formation cases. We give a model involving the major factors and parameters of the unit load formations. The optimization process is introduced using the formulated objective functions and constraints related to the basic tasks. The aim of the optimization process is to maximize the volume of goods that can fit into the unit load formation equipment.

Mathematical Modeling of the Unit Load Formation

2013 ◽  
Vol 309 ◽  
pp. 358-365 ◽  
Author(s):  
Béla Illés ◽  
Gabriella Bognár
Keyword(s):  
Mathematical Modeling ◽  
Supply Chain ◽  
Significant Role ◽  
Mathematical Description ◽  
Raw Materials ◽  
Transport Processes ◽  
Optimization Process ◽  
Objective Functions ◽  
Unit Load ◽  
Major Factors

A fast and efficient way of handling and storing components, raw materials, semi-finished and finished products play a significant role in the development of transport, storage and distribution design within the supply chain. One of the most important issues in storage and transport processes is the formation of unit loads. Our main goal is to give a mathematical description of a model involving the major factors of the unit load formation. The optimization process is exhibited applying the determined objective functions and constraints related to the basic tasks.

A Study of Conditions That Affect the Distribution of Compliance in Compliant Mechanisms

2008 ◽  
Author(s):  
Stephen L. Canfield ◽  
Daniel L. Chlarson ◽  
Alexander Shibakov ◽  
Joseph D. Richardson ◽  
Anupam Saxena
Keyword(s):  
Strain Energy ◽  
Compliant Mechanisms ◽  
Optimization Process ◽  
Objective Functions ◽  
Compatibility Analysis ◽  
Pareto Sets ◽  
Show Evidence ◽  
Final Design ◽  
Additional Constraints ◽  
Insight Into

Researchers in the field of optimal synthesis of compliant mechanisms have been working to develop design tools that yield distributed compliant devices from a continuum design domain. However, it has been demonstrated in the literature that much of this work has resulted in mechanisms that localize compliance rather than distribute it as desired. Inaccurate representation of the stiffness or strain energy due to the existence of point flexures in the mechanism was identified as the cause of this behavior by early researchers. To eliminate this cause, several approaches have been tried to improve the design of distributed mechanisms, for example additional constraints on the optimization process, alternate parameterization techniques that avoid point flexures and additional objective functions evaluated as Pareto sets. In this paper, the authors further investigate the fundamental reasons for the prevalence of lumped designs. Representative simple compliant mechanisms are investigated analytically and numerically and the influence of various additional objectives on the final design is evaluated. To extrapolate these results to more complex mechanisms, examples are constructed that show evidence that a preference remains for lumped compliance, despite the countermeasures that have been applied. Pareto compatibility analysis developed by the authors is used to analyze the influence of various objectives on the distributive nature of the final design. These conditions that influence the distribution of compliance fall into two basic categories: those specific to the numerical methods applied and those of purely mechanical (i.e. fundamental) nature. This work will examine conditions of the latter type and will demonstrate that such a preference for lumped compliance exists. This preference is shown to be contained in the classic objectives; flexibility and stiffness. Based on these results, greater insight into the optimization process is gained and applied to improve the search for distributed compliant mechanisms.

Full Three-Dimensional Optimization Platform of Turbine Blades Considering the Film Cooling

2013 ◽  
Author(s):  
Shaopeng Lu ◽  
Zhongran Chi ◽  
Songtao Wang ◽  
Fengbo Wen ◽  
Guotai Feng
Keyword(s):  
Film Cooling ◽  
Turbine Blades ◽  
Three Dimensional ◽  
Optimization Process ◽  
Pareto Optimal ◽  
Cooling Efficiency ◽  
Objective Functions ◽  
Nsga Ii ◽  
Aerodynamic Efficiency ◽  
Film Cooling Efficiency

In this paper, an optimization platform was established with Isight, cfx and the self-programming program which is used to generate the mesh. Film cooling effect can be taken into account. 15 parameters are selected as optimization variables. During the optimization process, the baseline blade and cooling holes are given by parameterized method. There are two objective functions during the optimization process. The first one is aerodynamic efficiency and the second one is film cooling efficiency. As there are two objective functions, NSGA-II is chosen as the multi-objective optimization algorithm. Then the Pareto-optimal front can be got. The results show that aerodynamic efficiency and film cooling efficiency restrict each other. It’s impossible to get the best solutions in one example, so the Pareto optimal set can provide a lot of choices. Different shapes make different effects on the aerodynamic efficiency and film cooling efficiency. From the above, it can be seen that the platform is helpful especially in the case that aerodynamic efficiency and film cooling efficiency restrict each other. This paper also discusses the prospects for platform applications.

scholarly journals A Multi-Level Multi-Objective Quadratic Programming Problem with Fuzzy Parameters on Objective Functions

2016 ◽  
Vol 15 (5) ◽  
pp. 6738-6748 ◽  
Author(s):  
Usama Emam
Keyword(s):  
Quadratic Programming ◽  
Programming Problem ◽  
Decision Model ◽  
Fuzzy Numbers ◽  
Quadratic Programming Problem ◽  
Objective Functions ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Multi Level ◽  
Fuzzy Parameters

This paper proposes an algorithm to solve multi-level multi-objective quadratic programming problem with fuzzy parameters in the objective functions, This algorithm uses the tolerance membership function concepts and multi-objective optimization at each level to develop a fuzzy Max-Min decision model for generating satisfactory solution after applying linear ranking method on trapezoidal fuzzy numbers in the objective functions, An illustrative example is included to explain the results.

scholarly journals A SECURED EMBEDDED SCHEME BASED ON MULTI-CRYPTOGRAPHIC PROTOCOLS

2017 ◽  
Vol 15 (2) ◽  
pp. 32-41
Author(s):  
S A ONASHOGA ◽  
O OYELEKE ◽  
O A OJESANMI ◽  
A A AGBOOLA
Keyword(s):  
Message Authentication ◽  
Symmetric Encryption ◽  
Message Authentication Code ◽  
Key Exchange Protocol ◽  
Authentication Code ◽  
Text Data ◽  
Transmission Of Information ◽  
Multi Level ◽  
Major Factors ◽  
Cryptographic Techniques

Transmission of information via unsecured channel requires confidentiality, authorization and authentication as part of major factors that must be put into consideration. This work proposes a scheme that can take care of these major factors at once. The method involves a multi-level approach that comprises of a key exchange protocol, a message authentication code, a key derivation function and a symmetric encryption known as polyalphabetic substitution that makes use of a 94x94 Vigenere table. The four cryptographic techniques are combined to form an encryption protocol, coined MLES for a message to be securely transmitted. In order to test the functionality of MLES scheme, it was implemented using Java 1.8.0 and tested on a text data. The result shows a feasible protocol that can secure a message in steganography.

An Improved ANFIS with Aid of ALO Technique for THD Minimization of Multilevel Inverters

2018 ◽  
Vol 27 (12) ◽  
pp. 1850193 ◽  
Author(s):  
Roy Francis ◽  
D. Meganathan
Keyword(s):  
Output Voltage ◽  
Fitness Function ◽  
Harmonic Distortion ◽  
Objective Functions ◽  
Voltage Waveform ◽  
Swarm Optimization ◽  
Multilevel Inverters ◽  
Optimal Outcomes ◽  
Proposed Model ◽  
Multi Level

In this study, an artificial intelligent (AI) technique is proposed for minimizing the total harmonic distortion (THD) of the multi-level inverter (MLI). An AI technique is a mixture of an ALO and ANFIS, which controls the parameters of the inverter. The innovation of the proposed technique is improving the performance of the MLI, which is reducing the THD based on the output voltage waveform. Normally, the output voltage of the inverter is based on the switching angle of MLI. Then the proposed technique is utilized to optimize the switching angle and THD of the inverter. Here, the ALO is used to analyze the switching angle of the MLI with the aid of the fitness function. ANFIS is familiar with optimizing the switching angle from the ALO algorithm output. By the implementation of the proposed technique, decrease the value of THD in the MLI for gathering the performance of the system. Asymmetrical MLI is used in the proposed model and it wishes to separate DC supply to activate. For skilled activation, the optimal outcomes and the objective functions are well-definite and recognize their restriction similarly. The proposed technique was realized in MATLAB/Simulink platform and compared with the prevailing techniques such as particle swarm optimization (PSO)-ANFIS, genetic algorithm (GA)-Artificial Neural Networks (ANN) and ANN-ALO.

Determination of Optimal Machining Conditions: A Coupled Uncertainty Model

1998 ◽  
Vol 122 (1) ◽  
pp. 206-214 ◽  
Author(s):  
S. S. Rao ◽  
Li Chen
Keyword(s):  
Optimization Process ◽  
Objective Functions ◽  
Machining Processes ◽  
Numerical Examples ◽  
Machining Conditions ◽  
Uncertainty Model ◽  
Empirical Relations ◽  
Computational Aspects

The problem of selecting optimal machining conditions, where the formulation involves the use of empirical relations, is considered. Since both randomness and fuzziness are associated with empirical relations, a coupled uncertainty model is proposed for manipulating these uncertainties. Equations are derived to establish the interrelation between the two types of uncertainties present in the objective functions and constraints of the optimization process. This permits a systematic handling of fuzziness in terms of randomness that is usually associated with experiments. The computational aspects of the approach are illustrated by two numerical examples dealing with the optimization of machining processes. [S1087-1357(00)70501-6]

scholarly journals Sediment loss and its causes in Puerto Rico watersheds

2015 ◽  
Vol 2 (1) ◽  
pp. 477-504
Author(s):  
Y. Yuan ◽  
Y. Jiang ◽  
E. V. Taguas ◽  
E. G. Mbonimpa ◽  
W. Hu
Keyword(s):  
Land Use ◽  
Puerto Rico ◽  
Land Use Planning ◽  
Environmental Concern ◽  
Transport Processes ◽  
Landscape Characteristics ◽  
Local Soil ◽  
Sediment Loss ◽  
Major Factors ◽  
Sediment Data

Abstract. A major environmental concern in the Commonwealth of Puerto Rico is increased sediment load to water reservoirs, to estuaries and finally to coral reef areas outside the estuaries. Sediment deposition has significantly reduced the storage capacity of reservoirs, and sediments, the associated contaminants and nutrients that are adsorbed, can stress corals and negatively impact reef health. Therefore, it is important to understand local soil erosion and sediment transport processes to better prevent and manage sediment loss. The main objective of this study was to determine the influence of landscape characteristics on sediment loss. We analyzed available precipitation and sediment data collected in Puerto Rico during the past three decades, and information on land use, soil properties and topography. Our partial least squares analysis was not very successful in identifying major factors associated with sediment loss due to the complexity of the study watersheds. However, the main factors causing sediment loss from ridge watersheds in Puerto Rico were mainly caused by interactions of development, heavy rainfall events (especially the hurricanes) and steep mountainous slopes associated with the ridges. These results improve our understanding of sediment loss resulting from changes in land use/cover within a Puerto Rico watershed, and will allow stakeholders to make more informed decisions about future land use planning.

scholarly journals Solving multi-level multiobjective fractional programming problem with rough interval parameter under neutrosophic environment

2021 ◽  
Author(s):  
FIROZ AHMAD
Keyword(s):  
Goal Programming ◽  
Fractional Programming ◽  
Optimal Solution ◽  
Fuzzy Goal Programming ◽  
Programming Algorithm ◽  
Objective Functions ◽  
Multiobjective Fractional Programming ◽  
Upper Approximation ◽  
Fuzzy Goal ◽  
Multi Level

In this study, a novel algorithm is developed to solve the multi-level multiobjective fractional programming problems, using the idea of a neutrosophic fuzzy set. The co-efficients in each objective functions is assumed to be rough intervals. Furthermore, the objective functions are transformed into two sub-problems based on lower and upper approximation intervals. The marginal evaluation of pre-determined neutrosophic fuzzy goals for all objective functions at each level is achieved by different membership functions, such as truth, indeterminacy/neutral, and falsity degrees in neutrosophic uncertainty. In addition, the neutrosophic fuzzy goal programming algorithm is proposed to attain the highest degrees of each marginal evaluation goals by reducing their deviational variables and consequently obtain the optimal solution for all the decision-makers at all levels. To verify and validate the proposed neutrosophic fuzzy goal programming techniques, a numerical example is adressed in a hierarchical decision-making environment along with the conclusions.

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