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[PDF] Top 20 A Developed Algorithm For L Fuzzy Multistage Portfolio Optimization Model

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A Developed Algorithm For L Fuzzy Multistage Portfolio Optimization Model

A Developed Algorithm For L Fuzzy Multistage Portfolio Optimization Model

... mathematical model, which takes into account all the most important factors mentioned in the literature related with Project Portfolio Selection and ...some fuzzy parameters also incorporated into ... See full document

6

Optimization of Fuzzy Random Portfolio selection by Implementation of Harmony Search Algorithm

Optimization of Fuzzy Random Portfolio selection by Implementation of Harmony Search Algorithm

... of portfolio optimization model as a useful instrument for helping finance practitioners and ...the fuzzy random variables to the linear ...search algorithm approaches to resolve the ... See full document

5

A Multi-Period MPS Optimization Using Linear Programming and Genetic Algorithm with Capacity Constraint

A Multi-Period MPS Optimization Using Linear Programming and Genetic Algorithm with Capacity Constraint

... with optimization of the manufacturing activities in order to maintain desired ...MPS optimization have been ...and L. Krajewski [1] developed a mathematical model for the MPS by an ... See full document

9

Multi-period and Multi-objective Stock Selection Optimization Model Based on Fuzzy Interval Approach

Multi-period and Multi-objective Stock Selection Optimization Model Based on Fuzzy Interval Approach

... MDRSMP portfolio selection model as a whole constrained by three objective functions and relevant ...ICA algorithm is that: This algorithm provides an excellent answer to the Markowitz ... See full document

6

Analyzing Effort Estimation in Multistage based FL COCOMO II Framework using various Fuzzy Membership Functions

Analyzing Effort Estimation in Multistage based FL COCOMO II Framework using various Fuzzy Membership Functions

... previously developed projects, ...algorithmic model to handle categorical data (which are specified by a range of values) and most importantly lack of reasoning capabilities contributed to the number of ... See full document

5

Application of Interval Valued Fuzzy Linear Programming for Stock Portfolio Optimization

Application of Interval Valued Fuzzy Linear Programming for Stock Portfolio Optimization

... earlier, developed rapidly, used widely and ...programming model to obtain the best results ...decomposition algorithm and various polynomial time algorithms are ... See full document

13

A Two-Warehouse Model for Deteriorating Items with Holding Cost under Inflation and Soft Computing Techniques

A Two-Warehouse Model for Deteriorating Items with Holding Cost under Inflation and Soft Computing Techniques

... of fuzzy simulation and genetic algorithm to optimize constrained inventory control systems with stochastic replenishments and fuzzy ...(2015) developed two parameter tuned multi-objective ... See full document

8

Intelligent optimization for support pressure zone algorithm based on fuzzy neural network damage identification

Intelligent optimization for support pressure zone algorithm based on fuzzy neural network damage identification

... dynamic algorithm for accurate scope of the SPZ based on structural damage identification has rarely been ...theoretical model deduction is op- timized for the scope calculation, with numerical simula- tion ... See full document

15

Optimization of FUZZY controller by JAYA algorithm

Optimization of FUZZY controller by JAYA algorithm

... the model parameters may show Significant performance degradation or even ...The fuzzy model was proposed by Takagi and Sugeno [2] and it is described by fuzzy IF-THEN rules which represent ... See full document

5

An Efficient Scheduling Strategy in Mobile Cloud: Model and Algorithm

An Efficient Scheduling Strategy in Mobile Cloud: Model and Algorithm

... a multistage scheduling for batch processing applications in mobile ...The multistage scheduling optimization is involved with mobile cloud provider’s optimization, mobile device application’s ... See full document

13

A Novel Adaptive Sine Cosine Algorithm for Global Numerical Optimization

A Novel Adaptive Sine Cosine Algorithm for Global Numerical Optimization

... of optimization is to improve performance of meta-heuristic algorithms [24] by integrating with chaos theory, Levy flights strategy, Adaptive randomization technique, Evolutionary boundary handling scheme, and ... See full document

15

A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS

A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS

... Portfolio optimization is one of the most important problems in modern financial management, which addresses the problem of allocating a particular amount of wealth among a given set of assets in financial ... See full document

7

Portfolio Investment Model Using Neuro Fuzzy System

Portfolio Investment Model Using Neuro Fuzzy System

... control model that includes ecological and economic uncertainty for managing both types of natural ...international portfolio management using dynamic stochastic programming model to determine ... See full document

5

Environmental Risks and Benefits of Nano-Enabled Clean Energy Technologies

Environmental Risks and Benefits of Nano-Enabled Clean Energy Technologies

... was developed where only deionized water or synthetic freshwater was used for stirring to simulate freshwater ecosystems in a controlled environment, extended magnetic stirring for a minimum of six weeks was used ... See full document

189

A Fuzzy Dynamical Model Developed by the Concept of Vedic Mathematics

A Fuzzy Dynamical Model Developed by the Concept of Vedic Mathematics

... It is perhaps for this reason that adopting the co-herence of a hotch – potch of unrelated technique Kosko Bart [4] in his paper introduced fuzzy cognitive maps as a di[r] ... See full document

5

A compromise based fuzzy goal programming approach with satisfaction function for multi objective portfolio optimisation

A compromise based fuzzy goal programming approach with satisfaction function for multi objective portfolio optimisation

... multi-objective portfolio selection model for investors. This model defines three criteria/objectives, namely return, risk and ...compromised portfolio strategy. The model considers ... See full document

7

Optimization of multistage depressed collectors

Optimization of multistage depressed collectors

... search algorithm can be used to find the collector geometry for optimum ...genetic algorithm, and simulated annealing have been tried in the past to automate the design ...[11]. Optimization of ... See full document

9

Title: Improve DC Motor System using Fuzzy Logic Control by Particle Swarm Optimization in Use Scale Factors

Title: Improve DC Motor System using Fuzzy Logic Control by Particle Swarm Optimization in Use Scale Factors

... math model to create it and also the laplace transform we used it to convert all the equations to blocks because MATLAB SIMULINK not accept equations that not deals with laplace transform and the Math model ... See full document

9

A Brief Introduction to Portfolio Optimization Using Genetic Algorithm

A Brief Introduction to Portfolio Optimization Using Genetic Algorithm

... considered, Portfolio is nothing but a collection of bonds or stocks or funds or ...this portfolio problem is to divide an investment among various ...complete portfolio without mentioning Markowitz ... See full document

6

Stock Portfolio-Optimization Model by Mean-Semi-Variance Approach Using of Firefly Algorithm and Imperialist Competitive Algorithm

Stock Portfolio-Optimization Model by Mean-Semi-Variance Approach Using of Firefly Algorithm and Imperialist Competitive Algorithm

... Markowitz model has been used for this purpose as well as calculating of expected returns and its standard ...his model bases, which are as: investors make returns desirable, they know risk as undesirable, ... See full document

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