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Multiobjective optimization with fuzzy parameters

An Objective Penalty Functions Algorithm for Multiobjective Optimization Problem

An Objective Penalty Functions Algorithm for Multiobjective Optimization Problem

... vector optimization problems, after solving only two optimization problems ...with fuzzy pa- rameters in the constraints ...involving fuzzy parameters ...

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Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification

Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification

... type-2 fuzzy rule-based classifiers (FRBCs) generated from data by a multi-objective evolutionary algorithm ...type-2 fuzzy sets and unbalanced ...the fuzzy frequency of the output class, in order to ...

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Multiobjective Optimization of WEDM Process Parameters on Al5052/Sic/Gr Hybrid MMC Using Grey Fuzzy

Multiobjective Optimization of WEDM Process Parameters on Al5052/Sic/Gr Hybrid MMC Using Grey Fuzzy

... multi-objective optimization of Wire Electrical Discharge Machining parameters, which converts the multi responses into a single fuzzy ...on fuzzy grade, optimal combination of ...

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Fuzzy Preference Incorporated Evolutionary Algorithm for Multiobjective Optimization

Fuzzy Preference Incorporated Evolutionary Algorithm for Multiobjective Optimization

... Abstract— Multiobjective evolutionary method is a way to overcome the limitation of the classical methods, by finding multiple solutions within a single run of the solution ...for multiobjective ...

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A Linear Interactive Solution Concept for Fuzzy Multiobjective Games

A Linear Interactive Solution Concept for Fuzzy Multiobjective Games

... a fuzzy number, but an outcome of the game has a zero-sum structure such that, when one player receives a gain the order player suffers an equal ...multiple fuzzy payoff matrices represent a ...

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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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A Fuzzy Approach for Hierarchical Multiobjective Linear Programming Problems

A Fuzzy Approach for Hierarchical Multiobjective Linear Programming Problems

... hierarchical fuzzy multiobjective linear programming problems where mul- tiple decision makers in a hierarchical organization have fuzzy goals for their own multiple objective linear func- tions ...

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On ε-optimality conditions for multiobjective fractional optimization problems

On ε-optimality conditions for multiobjective fractional optimization problems

... A multiobjective fractional optimization problem (MFP), which consists of more than two fractional objective functions with convex numerator functions and convex denominator functions, finitely many convex ...

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Review of Recent Nature-Inspired Optimization Techniques for Fuzzy Controller Parameters

Review of Recent Nature-Inspired Optimization Techniques for Fuzzy Controller Parameters

... the fuzzy control method has ...the fuzzy variable of the flow rate during low power operation, and includes the flexible scale adjusting method for fast response at a large ...

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Evolutionary Algorithms for Static and Dynamic Multiobjective Optimization

Evolutionary Algorithms for Static and Dynamic Multiobjective Optimization

... many-objective optimization, the balance between them is still of great ...of multiobjective optimization that emphasizes nondominated so- lutions in the population, resulting in very little room ...

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A tutorial on multiobjective optimization: fundamentals and evolutionary methods

A tutorial on multiobjective optimization: fundamentals and evolutionary methods

... with optimization algorithm ...bio-inspired optimization algo- rithms have gained maturation and competitive perfor- ...swarm optimization (Reyes-Sierra and Coello Coello 2006), ant colony ...

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Decomposition Evolutionary Algorithms for Noisy Multiobjective Optimization

Decomposition Evolutionary Algorithms for Noisy Multiobjective Optimization

... algorithmic parameters that will guarantee the finding of a Pareto-optimal ...the optimization process as the decision-maker interacts with the optimization program during the optimization ...

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Evolutionary multiobjective optimization : review, algorithms, and applications

Evolutionary multiobjective optimization : review, algorithms, and applications

... Contrarily to the majority of classical methods, evolutionary algorithms are population- based optimization techniques. This feature makes them particularly suitable for solving multiobjective ...

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Investigating the Significance of "One-to-many" Mappings in Multiobjective Optimization.

Investigating the Significance of "One-to-many" Mappings in Multiobjective Optimization.

... The type of algorithm and implementation clearly affects the optimization process. Among the algorithms, and of particular interest, is the Non-dominated Sorting Genetic Algorithm-2 (NSGA-2), as shown in (Deb, ...

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A Stochastic Multiobjective Optimization Framework for Wireless Sensor Networks

A Stochastic Multiobjective Optimization Framework for Wireless Sensor Networks

... In this paper, we utilize the concept of multiobjective optimization and provide a general framework for a specific class of applications in WSNs. It is well known that the TCP/IP reference model, one of ...

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Robust optimization model for uncertain multiobjective linear programs

Robust optimization model for uncertain multiobjective linear programs

... as optimization problems, Nash equilibria prob- lems, fixed point problems, variational inequality problems, and complementarity prob- lems, and has been investigated ...problem, multiobjective ...

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Optimality Conditions for Approximate Solutions in Multiobjective Optimization Problems

Optimality Conditions for Approximate Solutions in Multiobjective Optimization Problems

... We study first- and second-order necessary and sufficient optimality conditions for approximate weakly, properly efficient solutions of multiobjective optimization problems. Here, tangent cone, -normal cone, ...

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An exact method for a discrete multiobjective linear fractional optimization

An exact method for a discrete multiobjective linear fractional optimization

... In this paper, an exact method for generating all efficient solutions for multiple objective integer linear fractional programming problems is presented The method does not require any nonlinear optimization. A ...

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Multiobjective Optimization of Electrical Machine, a State of the Art Study

Multiobjective Optimization of Electrical Machine, a State of the Art Study

... objective optimization problem and the Finite Element Method (FEM) is used to determine the performance of the ...proposed optimization technique is applied to determine optimal pole shape of an 8/6, ...

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Design of synchronous reluctance motors with multiobjective optimization algorithms

Design of synchronous reluctance motors with multiobjective optimization algorithms

... of parameters used to describe the rotor geometry has a critical role in the design ...of parameters and a strong simplification is needed here to keep the optimization process as simple as ...

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