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In this paper, straw and rice bran is the object of the molding process. It analyzes the impact of straw and rice bran mixture ratio and temperature on the main indicators of forming fuel. Based on the LS-SVM, multi-objective optimization function and the model of the straw and rice bran mixed-compression molding process have been established. Also the model and molding process has been tested and...
Evolutionary Algorithms can be inefficient in optimizing problems in which fitness evaluation of candidate solutions is computationally expensive. In this paper, single and multi-objective evolutionary methods assisted by meta-models are proposed and analyzed. Meta-models are used to identify promising regions of search space in order to save evaluations of objective-functions. The meta-models are...
Based on the study of analytic hierarchy process (AHP), fuzzy comprehensive evaluation and Bayesian network, this paper establishes the multiple objective decision Bayesian network model (MODBN) by use of the method of converting the indexes and their relationships into the nodes and directed edges in Bayesian network. First of all, calculate the prior probabilities of the leaf nodes in MODBN using...
When dealing with the design of robotic fingers driven by tendons, one can be inspired by the human index finger tendon distribution. The structure of the designed robot finger has to minimize the number of tendons required without sacrificing either the actuated degree of freedom or the maximal output force produced at the fingertip. In this paper, a biomechanical study of the index finger under...
The subject matter falls within the context of optimization of relational data warehouses. It involves using the algorithm based on ant colonies for the selection of horizontal fragmentation which is one of optimization irredundant techniques. The character NP-complete characterizing the selection of this technique justifies the use of approximate methods or "meta heuristic” to solve it in a...
This paper presents the procedure and the results of the multi-objective optimization of the design of a seven degrees of freedom (7DOF) robot manipulator for better global performance, which pertains to the global conditioning, global manipulability, and structural length indices. The Taguchi method was used to reduce the time needed to analyze the global performance of the robot manipulator. Grey...
In this paper, we consider the problem of the joint optimization of encoder-controller for closed-loop control with state feedback over a binary-input Gaussian channel (BGC). The objective is to minimize the expected linear quadratic cost over a finite horizon. This encoder-controller optimization problem is hard in general, mostly because of the curse of dimensionality. The result of this paper is...
With rough set theory, the study area is divided into regular grid cells, landslide hazard assessment indexes system and geohazards knowledge representation system and decision table in study area are designed. On this basis, specific algorithms for assessment indexes system optimization and weights confirmation are constructed. So that landslide hazard quantitative scores are calculated,and landslide...
Integrated from the three articles on Vague plan, the paper advanced the Vague plan optimization algorithm, which proposed the definition of the transforming formula from the single data to Vague data, and also put forward two transforming formulas from the single data to Vague data, and proposed one similarity measure formula among one Vague set. The two formulas are the basic foundation of the Vague...
In this paper, we propose a tree-based adaptive broadcasting (TAB) algorithm for data dissemination to improve data access efficiency in vehicle communications. The proposed TAB algorithm first constructs a broadcast tree to determine the broadcast frequency of each data, and splits the broadcast tree into some broadcast wood to generate the broadcast program. In addition, this paper develops an analytical...
In this paper we analyze various user assignment and scheduling policies for neigbouring femtocell networks. The trade-off between capacity maximization and fairness is investigated and a combined user assignment and proportional fair (PF) scheduling procedure for a femtocell gateway is proposed. The flexibility of the proposed architecture in terms of capacity and fairness is studied via various...
This paper modifies the replacement and update scheme in MOEA/D-DE developed in for dealing with constraints in multiobjective optimization problems. The modified scheme introduces a penalty function to penalize infeasible solutions. The penalty function uses a threshold to control the amount of penalty to infeasible solutions. Experimental results have shown that this penalty method is very promising.
The issue of power quality in the distribution system is always in sense of the concern. With the high penetration of distributed generation (DG) currently, it tends to be more complicated. This paper presents a new approach to evaluate impacts of the DG on power quality of the distribution network. In the process an objective function will be modeled, which will be solved by the optimization toolbox,...
An optimization approach to determine the value of optimum LC compensator for time-variant nonsinusoidal environments is proposed. The optimization technique minimizes the transmission loss and/or maximizes the power factor. All the source voltage harmonics follow the same pattern. The equivalent source and load impedances are presented by complex time variations functions. The performance of the...
The objective of the work is to present, analyze critically and illustrate the possibilities of implementing the decomposition model of price effects in the works of E. E. Slutsky, the known American economist. Starting from the author's idea that the height of real consumer income is determined by the attainable quantity of goods along with available income and consumer use optimization, some decomposition...
This paper analyzes the predictivity and return of the Barmish-Iwarere trading algorithm described in. In the first part of the paper, we study the trade triggering algorithm using either an Ito process model, or real data from indexes and ETFs. It is shown through hypothesis testing that the trigger provides mixed results in predicting the sign of the single trade, for both the Ito process and real...
According to road and traffic characteristic indexes of high-way network, this paper illustrates a new model, which can evaluate which is the best among many programming schemes, the paper firstly researches the analyzing model for high-way network optimization which takes the evaluation objectives as set of indexes and programming schemes as set of domain by quantitative analysis, and establishes...
Portfolio Selection as introduced by Harry Markowitz laid the foundation for Modern Portfolio Theory. However, the assumption that underlying asset returns follow a normal distribution and that investors are indifferent to skew and kurtosis is not practically suited for the hedge fund environment. Additionally, the lockup and notice provisions built into hedge fund contracts make portfolio rebalancing...
Algorithms for counting the occurrences of special events in the framework of partially-observed discrete-event dynamical systems (DEDS) were developed in previous work. Their performances typically become better as the sensors providing the observations become more costly or increase in number. This paper addresses the problem of finding a sensor configuration that achieves an optimal balance between...
The multi-objective optimal problems are usually solved with linear weight method, but each weight factor is a constant in this method. It can't respond to the interaction effects to each sub-objective in the optimization process. After analyzing the similarity between closed-loop feedback control in the control systems and the dynamic progress of multi-objective optimization calculating, the paper...
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