fuzzy objective function algorithm
Fuzzy Pareto optimal Solution to Fully fuzzy Multi Objective Linear Programming Problem
... new algorithm for solving fully fuzzy Multi objective linear programming problem with triangular fuzzy number without converting to equivalent classical ...triangular fuzzy numbers are ...
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Machining Process Optimization By Colony Based Cooperative Search Technique
... optimization algorithm (ACO), to optimize the machining parameters in turning ...An objective function based on maximum profit in operation has been ...manufacturer objective function ...
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Solving a non-convex non-linear optimization problem constrained by fuzzy relational equations and Sugeno-Weber family of t-norms
... genetic algorithm, a population of solutions (called individuals) to an optimization problem is iteratively evolved toward better solutions (the population in each iteration called a ...the objective ...
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Solving Multi-Objective Structural Design Problem using Fuzzy Optimization Method: A Comparative Study
... computational algorithm to solve a multi-objective structural problem using fuzzy optimization ...of algorithm is based on principle of optimal decision set obtained by intersection of various ...
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Evolving temporal fuzzy itemsets from quantitative data with a multi objective evolutionary algorithm
... membership function is much wider and its central point (parameter b) is not close to the ...membership function parameters. Figures 5, 6 and 7 show each objective plotted against one other for a ...
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Optimal Fuzzy Logic Controller Design for Robot Arm Control
... The objective function has been optimized using three methods: GA-FLC (Genetic Algorithm based Fuzzy Logic Controller), ICA-FLC (Imperialist Competitive Algorithm based Fuzzy ...
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Vol 5, No 7 (2014)
... to fuzzy multi- objective LFP ...multi-objective fuzzy LFP. Singh P. et al. [10] developed an algorithm for solving a fuzzy multi-objective linear plus LFP problem and ...
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Distribution feeder reconfiguration for loss minimization based on Modified Honey Bee Mating Optimization algorithm
... the objective function is minimized and the constraints are ...heuristic algorithm to determine the minimum loss configuration for radial distribution networks [3, ...genetic algorithm to look ...
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On solving multi objective fractional linear programming problems
... with fuzzy numbers. Here, we first explain the multi objective fractional linear programming problems in crisp case and then solved the multi objective fractional linear programming problems in the ...
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xnRp is the data set in the
... proposed fuzzy sets in order to come closer of the physical world ...A fuzzy version of clustering appeared; it is Fuzzy C-Means with a weighting exponent m>1, that uses the probabilistic ...
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An Algorithm for Obtaining Optimal Compromise Solution of a Multi Objective Fuzzy Linear Programming Problem
... An optimal compromise solution of the multiobjective linear programming problem is a solution x x ij X which is preferred by the decision maker to all other solutions, taking into consideration all criteria ...
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A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions
... for fuzzy parametric multi-objective nonli- near programming ...with fuzzy parameters in the ...with fuzzy ran- dom programming, Loganathan and Sherali [7] presented an interactive cutting ...
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Multi-objective transmission expansion planning using fuzzy-genetic algorithm
... Transmission Expansion Planning (TEP) is an important component of power system planning. It determines the characteristics and performance of the future electric power network and influences power system operation ...
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Solution of Multi-Objective Transportation Problem Via Fuzzy Programming Algorithm
... via fuzzy programming ...membership function, then the crisp model becomes ...membership function, it is shown that the fuzzy optimal values do not depend on the chosen membership ...
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Linear programming on SS-fuzzy inequality constrained problems
... The remainder of the paper is organized as follows. In section 3, some preliminary no- tions and definitions and three necessary conditions for the feasibility of problem (1) are presented. In section ??, the feasible ...
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On Fuzzy Multi-Objective Multi-Item Solid Transportation Problems
... genetic algorithm for solving bicriteria STP with fuzzy ...introduced fuzzy STP in the case in which the fuzziness affects the constraint ...with fuzzy numbers; Li et al. (1997) presented a ...
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OPTIMIZED APPROACH FOR CHARACTERISTIC AND PREDICTIVE OF ANOMALIES IN A DYNAMIC DATA SYSTEM
... This algorithm also provides a discriminative module that utilizes the Gaussian mixture model to score temporal patterns based on the posterior ...associated objective function that integrate both ...
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DEVELOPMENT AND APPLICATION OF MULTIOBJECTIVE FUZZY WASTE LOAD ALLOCATION MODEL
... Objective 2:- Maximization of equity for each discharger. Before formulating the objective function for equity, a brief overview on the concept of equity would be appropriate in understanding the ...
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Fuzzy Optimal Solution for Fully Fuzzy Linear Programming Problems Using Hexagonal Fuzzy Numbers Gaussian Quadrature Rule
... This function can be generalized to a function μ such that the value assigned to the element of the universal set X fall within a specified range ...membership function and the set = {(x, μ (x)); x ...
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Porosity Calculation of Tight Sand Gas Reservoirs with GA CM Hybrid Optimization Log Interpretation Method
... the objective function is got according to the concept of optimization log interpretation ...Genetic Algorithm and the Complex Algorithm together to form the GA-CM Hybrid Algorithm for ...
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