• No results found

pareto-optimal solution

Fuzzy Pareto optimal Solution to Fully fuzzy Multi Objective Linear Programming Problem

Fuzzy Pareto optimal Solution to Fully fuzzy Multi Objective Linear Programming Problem

... a solution to those ...ideal solution of each single fuzzy objective function of the given fuzzy MOLP, the proposed algorithm provides a fuzzy Pareto- optimal solution for the given ...

5

A Pareto Optimal Solution for Environmental/Economic Power
Dispatch using Multi-objective Genetic Algorithm

A Pareto Optimal Solution for Environmental/Economic Power Dispatch using Multi-objective Genetic Algorithm

... The aim of this paper is to apply genetic algorithm (GA) to the solution of the environmental economic power dispatch problem. The environmental economic power dispatch is a multi-objective optimization problem. ...

9

Fuzzy Optimization Technique for Pareto Optimal Solution of Structural Models with Stress constraints

Fuzzy Optimization Technique for Pareto Optimal Solution of Structural Models with Stress constraints

... of optimal structure ...the optimal bar truss cross-section area so that the structure is of the smallest total weight, the minimum nodes displacement, in a given load ...

11

Online Full Text

Online Full Text

... and Pareto optimal solution concept are pro- posed using α-level cuts of membership ...satisficing solution for a decision maker through ...

6

Algorithm for Solving Fuzzy Multiobjective Linear Fractional Programming Problem by Additive Weighted Method

Algorithm for Solving Fuzzy Multiobjective Linear Fractional Programming Problem by Additive Weighted Method

... the pareto optimal solution of MOLPP is obtained by applying simplex ...the pareto optimal solution of the respective ...

6

VEGA Based Routh-Padé Approximants ForDiscrete Time Systems : A Computer-Aided Approach

VEGA Based Routh-Padé Approximants ForDiscrete Time Systems : A Computer-Aided Approach

... Step 4: For the following population of initial conditions, the population after crossover and mutation operators are shown in following table: considering R 1 = 2 , R 2 = 10 . R 1 , the resulting ...

6

Multiobjective Programming With Continuous Genetic Algorithm

Multiobjective Programming With Continuous Genetic Algorithm

... single solution that optimizes all functions simultaneously, we have solution set that is called nondominated set and elements of this set are usually ...of Pareto optimal solution with ...

15

Environmental Protection Power Dispatch for Modern Power System

Environmental Protection Power Dispatch for Modern Power System

... an pareto-optimal solution, which is an emission-cost trade-off solution, by following the intention of the decision ...compromising solution through an easy and interactive process to ...

8

Visualization of Pareto Solutions by Spherical Self Organizing Map and It’s acceleration on a GPU

Visualization of Pareto Solutions by Spherical Self Organizing Map and It’s acceleration on a GPU

... two Pareto-optimal solution sets from multiple-objective optimization problems to evaluate the effectiveness of spherical ...a Pareto-optimal so- lution set is a highly viable ...

9

Multi criteria optimization of the operation of control systems of 
		moving object under uncertainty

Multi criteria optimization of the operation of control systems of moving object under uncertainty

... received Pareto-optimal fuzzy solutions using usefulness assessment of the received solution is ...the Pareto-optimal solution taking into account usefulness is ...the ...

6

Increasing the density of available pareto optimal solutions

Increasing the density of available pareto optimal solutions

... corresponding Pareto optimal decision vector if a Pareto optimal solution, z , is used and 0 ...the Pareto front as well as its ...the Pareto optimal set, P , and ...

22

Hierarchical Multiobjective Stochastic Linear Programming Problems Considering Both Probability Maximization and Fractile Optimization

Hierarchical Multiobjective Stochastic Linear Programming Problems Considering Both Probability Maximization and Fractile Optimization

... approaches to obtain a satisfactory solution. As a natural extension of their approaches, Yano [10] proposed a fuzzy approach for hierarchical multiobjective linear programming problems. On the other hand, in the ...

8

Multiobjective Fuzzy Random Linear Programming Problems Based on Coefficients of Variation

Multiobjective Fuzzy Random Linear Programming Problems Based on Coefficients of Variation

... fuzzy goals of permissible levels. In the proposed method, it is assumed that the decision maker adopts the fuzzy decision [5], [14] to integrate the membership functions. As a natural extension of such methods, ...

7

Interactive Fuzzy Decision Making for Hierarchical Multiobjective Stochastic Linear Programming Problems

Interactive Fuzzy Decision Making for Hierarchical Multiobjective Stochastic Linear Programming Problems

... hierarchical multiobjective linear programming problems. On the other hand, in the actual decision making situations, the decision makers often encounter difficulties to deal with vague information or uncertain data. ...

6

Approximation of the Whole Pareto-Optimal Set for the Vector Optimization Problem

Approximation of the Whole Pareto-Optimal Set for the Vector Optimization Problem

... the Pareto-optimal solution with an associated (W OP ) [23], ...single Pareto-optimal solution is what we need for practical ...single Pareto-optimal ...

24

Multi objective new product development by complete Pareto front and ripple spreading algorithm

Multi objective new product development by complete Pareto front and ripple spreading algorithm

... [10]-[14], Pareto-compliant ranking (PCR) based methods [15]-[25], and constrained objective (COF) function based methods ...a Pareto optimal ...some Pareto optimal solutions if the ...

27

On the Pareto Efficiency of a Socially Optimal Mechanism for Monopoly Regulation

On the Pareto Efficiency of a Socially Optimal Mechanism for Monopoly Regulation

... socially optimal direct-revelation mechanism to regulate a monopolistic firm with unknown ...ex-post Pareto dominated by any other feasible direct-revelation ...ex-post Pareto dominated by the BM ...

21

Robust uncertainty assessment of the spatio-temporal transferability of glacier mass and energy balance models

Robust uncertainty assessment of the spatio-temporal transferability of glacier mass and energy balance models

... The multi-objective optimization was based on three ob- jectives related to stake mass balance data measured using the glaciological method. We used the model bias over all stakes and the mean absolute deviation over the ...

21

Lignite price and split of profit negotiation in bilateral monopoly of lignite opencast mine and power plant

Lignite price and split of profit negotiation in bilateral monopoly of lignite opencast mine and power plant

... not optimal decisions, lower their profits or even have ...taking optimal decisions is therefore more ...maximization solution could be attained nevertheless BM acts as the vertically integrated firm ...

8

On the existence and stability of Pareto optimal endogenous matching with fairness

On the existence and stability of Pareto optimal endogenous matching with fairness

... the Pareto optimal endogenous matching as well as the Pareto- optimality Nash equilibrium can be regarded as the limit of the learning processes of the players in some sense by noting that there ...

65

Show all 10000 documents...

Related subjects