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fuzzy multi-objective optimization method

Solving Multi-Objective Structural Design Problem using Fuzzy Optimization Method: A Comparative Study

Solving Multi-Objective Structural Design Problem using Fuzzy Optimization Method: A Comparative Study

... a multi-objective structural problem using fuzzy optimization ...various fuzzy decision sets which are obtained corresponding to each objective ...on optimization and to ...

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Goal Programming for Solving Fractional Programming Problem in Fuzzy Environment

Goal Programming for Solving Fractional Programming Problem in Fuzzy Environment

... practical optimization problems the decision making becomes further complicated in situa- tions when multiple objectives are conflicting and non commensurate or imprecise in ...such method based on goal ...

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Fuzzy Goal Programming to Optimization the Multi-Objective Problem

Fuzzy Goal Programming to Optimization the Multi-Objective Problem

... are multi-objective in nature and their solution requires consideration of conflicting ...that multi-objective optimization model had found a lot of important applications in decision ...

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Selection of Hydraulic Press on the Basis of Fuzzy Multi Objective Optimization Ratio Analysis (MOORA) Method

Selection of Hydraulic Press on the Basis of Fuzzy Multi Objective Optimization Ratio Analysis (MOORA) Method

... triangular fuzzy number for comparing the which machine is more suitable for squeezing, flaring operation and for that we considered the ten criteria’s from that ...MOORA method is very easy and simple for ...

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A Multi-Objective Production Planning Problem Based on NeutrosophicLinear Programming Approach

A Multi-Objective Production Planning Problem Based on NeutrosophicLinear Programming Approach

... a multi-objective linear programming problem (MOLPP) using Neutrosophic optimization ...intuitionistic fuzzy optimization and Neutrosophic optimization ...

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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

... The optimization of investment portfolios is the most important topic in financial decision making, and many relevant models can be found in the ...portfolio optimization in this paper, deals with novel ...

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Distribution feeder reconfiguration for loss minimization based on Modified Honey Bee Mating Optimization algorithm

Distribution feeder reconfiguration for loss minimization based on Modified Honey Bee Mating Optimization algorithm

... the objective function is minimized and the constraints are ...innovative method for calculating the loss through the network reconfiguration ...flow method based on a heuristic algorithm to ...

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A Novel Behavior-based Navigation Architecture of Mobile Robot in Unknown Environments

A Novel Behavior-based Navigation Architecture of Mobile Robot in Unknown Environments

... uses multi-objective optimization and CDB uses fuzzy ...uses multi-objective optimization and is implemented with three behaviors: obstacle avoidance, maintaining target ...

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Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction

Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction

... of fuzzy systems is also an important ...a fuzzy rule base and fuzzy membership ...of fuzzy systems. Subsequently, in the second method, PSO and BPSO will be used to optimize the ...

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Fuzzy bi-objective optimization model for multi-echelon distribution network

Fuzzy bi-objective optimization model for multi-echelon distribution network

... of multi product, transportation modes and multiple ...a fuzzy bi-objective mathematical model to choose the supplier with best performance on the basis of quality & delivery percentages and to ...

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... of fuzzy data could be ...a fuzzy multi-criteria optimization model for TCQRTP for Magnetic Resonance Imaging (MRI) installation project using multi-objective genetic algorithm ...

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NEUTROSOPHIC MULTI-OBJECTIVE LINEAR PROGRAMMING Surapati Pramanik*

NEUTROSOPHIC MULTI-OBJECTIVE LINEAR PROGRAMMING Surapati Pramanik*

... Many optimization approaches/methods and techniques for modeling and solving fuzzy MOLP problems have been proposed in the literature to deal with decision making situations, which involve fuzzy ...

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A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls   Pages 35-48
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A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls Pages 35-48 Download PDF

... for multi-objective problems were presented in Jozefowiez et ...the multi-objective evolutionary algorithms was proposed by Zhou et ...the multi-objective version of the ...

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Ranking of Hexagonal Fuzzy Numbers for Solving Multiobjective Fuzzy Linear Programming Problem

Ranking of Hexagonal Fuzzy Numbers for Solving Multiobjective Fuzzy Linear Programming Problem

... The above procedure (3.2) can be used to develop ranking for hexagonal fuzzy numbers. Based on this ranking procedure, a ranking algorithm is developed for a hexagonal fuzzy numbers. Moreover, it is applied ...

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Fuzzy Multi Objective Assignment Linear Programming Problem based on L R fuzzy Numbers

Fuzzy Multi Objective Assignment Linear Programming Problem based on L R fuzzy Numbers

... proposed method is to solve the total optimal fuzzy cost, fuzzy time and fuzzy quality for fuzzy multi-objective assignment problem using linear programming as follows: ...

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Simulated Metamorphosis - A Novel Optimizer

Simulated Metamorphosis - A Novel Optimizer

... Abstract—This paper presents a novel metaheuristic algorithm, simulated metamorphosis (SM), inspired by the biological concepts of metamorphosis evolution. The algorithm is motivated by the need for interactive, ...

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Improved two-phase solution strategy for multiobjective fuzzy stochastic linear programming problems with uncertain probability distribution

Improved two-phase solution strategy for multiobjective fuzzy stochastic linear programming problems with uncertain probability distribution

... has been considered (Hop, 2007b), where c is (1, n) matrix. A, b are (m, n), and (m, 1) matrices of fuzzy random variable constraint coefficients defined on a probability space (Q, 2°, P ). The problem was ...

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A study of evolutionary algorithms based on multi objective pareto optimality

A study of evolutionary algorithms based on multi objective pareto optimality

... traditional method of initialization of population, real coded chaotic initialization based on Pareto Optimality is used in this ...coding method [17]and summarized the ...

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OPTIMIZATION OF MULTI-OBJECTVE FACILITY LAYOUT USING NON-TRADITIONAL OPTIMIZATION TECHNIQUE

OPTIMIZATION OF MULTI-OBJECTVE FACILITY LAYOUT USING NON-TRADITIONAL OPTIMIZATION TECHNIQUE

... Dynamic programming is a mathematical technique which is useful in many types of decision problems. The problems in which the decisions are to be made at a number of stages, are called multi-stage decision ...

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Adaptive wireless network multi-objective optimization algorithm based on image synthesis

Adaptive wireless network multi-objective optimization algorithm based on image synthesis

... the multi-source image, so that the clarity of the image is improved, and the redun- dancy data provided by the multi-sensor is processed to enhance the reliability of the ...of multi-sensor ...

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