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Combined Particle Swarm Optimization and Fuzzy Inference System model for estimation of current-induced scour beneath marine pipelines

Publications associées (42)

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A dynamic fuzzy-based crossover method for genetic algorithms

Mostafa Ajallooeian

Currently, Genetic Algorithms (GA) are widely used in different optimization problems. One of the problems with GAs is tuning their parameters correctly as they can have a significant effect on GA's overall performance. Till now, different methods have bee ...

Ieee Computer Soc Press, Customer Service Center, Po Box 3014, 10662 Los Vaqueros Circle, Los Alamitos, Ca 90720-1264 Usa2007

Inspiring and Modeling Multi-Robot Search with Particle Swarm Optimization

Alcherio Martinoli, James Pugh

Within the field of multi-robot systems, multi-robot search is one area which is currently receiving a lot of research attention. One major challenge within this area is to design effective algorithms that allow a team of robots to work together to find th ...

2007

Applying Aspects of Multi-Robot Search to Particle Swarm Optimization

Alcherio Martinoli, James Pugh, Loïc Segapelli

We present a modified version of the Particle swarm Optimization algorithm in which we adjust the virtual swarm search by incorporating inter-agent dynamics native to multi-robot search scenarios. The neighborhood structure of PSO is modified to accurately ...

2006

Discrete Multi-Valued Particle Swarm Optimization

Alcherio Martinoli, James Pugh

Discrete optimization is a difficult task common to many different areas in modern research. This type of optimization refers to problems where solution elements can assume one of several discrete values. The most basic form of discrete optimization is bin ...

2006

Dynamically reconfigurable bio-inspired hardware

During the last several years, reconfigurable computing devices have experienced an impressive development in their resource availability, speed, and configurability. Currently, commercial FPGAs offer the possibility of self-reconfiguring by partially modi ...

EPFL2006

Fuzzy gain scheduling technique for power flow control

Alexandre Oudalov

An application of fuzzy logic based control for power systems governing multiple flexible alternating current transmission system (FACTS) devices is described here. Sufficiently accurate relations have been derived to determine setpoints of FACTS devices u ...

2006

Particle swarm optimization for unsupervised robotic learning

Alcherio Martinoli, James Pugh

We explore using particle swarm optimization on problems with noisy performance evaluation, focusing on unsupervised robotic learning. We adapt a technique of overcoming noise used in genetic algorithms for use with particle swarm optimization, and evaluat ...

2005

Coevolutionary fuzzy modeling

Carlos Andres Peña Reyes

This thesis presents Fuzzy CoCo, a novel approach for system design, conducive to explaining human decisions. Based on fuzzy logic and coevolutionary computation, Fuzzy CoCo is a methodology for constructing systems able to accurately predict the outcome o ...

EPFL2002

Consistent Sobolev Regression via Fuzzy Systems with Overlapping Concepts

Giancarlo Ferrari Trecate

In this paper we propose a new nonparametric regression algorithm based on Fuzzy systems with overlapping concepts. We analyze its consistency properties, showing that it is capable to reconstruct an infinite-dimensional class of function when the size of ...

2000

Sobolev Approximation by means of Fuzzy Systems with Overlapping Gaussian Concepts

Giancarlo Ferrari Trecate

In this paper the approximating capabilities of fuzzy systems with overlapping Gaussian concepts are considered. A new method for the computation of the system coefficients is provided, showing that it guarantees uniform approximation of the derivatives of ...

1999