Results 201 to 210 of about 12,299 (261)

Fuzzy multi-objective mathematical programming on reliability optimization model

Applied Mathematics and Computation, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
G S Mahapatra, T K Roy
exaly   +3 more sources

A generic fuzzy approach for multi-objective optimization under uncertainty

Swarm and Evolutionary Computation, 2018
Multi-objective optimization under uncertainty has gained considerable attention in recent years due to its practical applications in real-life. Many studies have been conducted on this topic, but almost all of them transformed the problem into a mono-objective one or just neglected the effects of uncertainty on the outcomes.
Oumayma Bahri, El-Ghazali Talbi
exaly   +4 more sources

Multi-objective optimization based on fuzzy if-then rules

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013
In this paper, a fuzzy multi-objective mathematical programming problem is considered where functional relationship between the decision variables and the objective functions is not completely known to us. It is assumed that the information source from where some knowledge may be obtained about objective functions consists of a block of fuzzy if-then ...
Debjani Chakraborty, Debashree Guha
openaire   +1 more source

Multi-objective optimization of TSK fuzzy models

2008 5th International Multi-Conference on Systems, Signals and Devices, 2008
In this paper we propose a hybrid algorithm to optimize the structure of TSK type fuzzy model using backpropagation (BP) learning algorithm and non-dominated sorting genetic algorithm (NSGA-II). In a first step, BP algorithm is used to optimize the parameters of the model (parameters of membership functions and fuzzy rules). NSGA-II is used in a second
Guenounou, O.   +2 more
openaire   +3 more sources

Optimization algorithms for multi-objective problems with fuzzy data

2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM), 2014
This paper addresses multi-objective problems withfuzzy data which are expressed by means of triangular fuzzynumbers. In our previous work, we have proposed a fuzzy Paretoapproach for ranking the generated triangular-valued functions.Then, since the classical multi-objective optimization methods canonly use crisp values, we have applied a ...
Bahri, Oumayma   +2 more
openaire   +1 more source

Multi-objective evolutionary algorithms based fuzzy optimization

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
We deal with nonlinear programming problems with fuzzy constrains for which we use parametric programming based solution methods. We propose a multi-objective approach to solve parametric programming problems, and a multi-objective Pareto-based Evolutionary Algorithm is used.
Gracia Sánchez   +2 more
openaire   +1 more source

Multi-objective optimization with uncertainty: Probabilistic and fuzzy approaches

2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009
The study of multi-objective optimization has matured to a level where uncertainty is considered when comparing and evaluating solutions for any given problem. This paper reviews the current techniques that have been proposed to include uncertainty within a multi-objective framework. Probabilistic as well as fuzzy methods are reviewed.
Sanjoy Das   +4 more
openaire   +1 more source

Home - About - Disclaimer - Privacy