Publications related to Analysis of Fitness Noise in Particle Swarm Optimization: From Robotic Learning to Benchmark Functions

Black-box Optimization Benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 Noiseless Testbed

In this paper, we study the performance of NIPOP-aCMA-ES and NBIPOP-aCMA-ES, recently proposed alternative restart strategies for CMA-ES. Both algorithms were tested using restarts till a total number of function evaluations of

10^6D

was reached, where $ ...

2012

Alternative Restart Strategies for CMA-ES

Ilya Loshchilov

This paper focuses on the restart strategy of CMA-ES on multi-modal functions. A first alternative strategy proceeds by decreasing the initial step-size of the mutation while doubling the population size at each restart. A second strategy adaptively alloca ...

2012

Optimizing linear discriminant error correcting output codes using particle swarm optimization

Nikolaos Arvanitopoulos Darginis

Error Correcting Output Codes reveal an efficient strategy in dealing with multi-class classification problems. According to this technique, a multi-class problem is decomposed into several binary ones. On these created sub-problems we apply binary classif ...

2011

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

Roham Bakhtyar

In this paper the capability of PSO is employed to deal with the ANFIS inherent shortcomings to extract optimum fuzzy If-Then rules in noisy area arisen from application of nondimentional variables to estimate scouring depth. In the model, a PSO algorithm ...

IWA Publishing2011

The effects of practice schedule on learning a complex judgment task

The effects of practice schedule on learning a complex judgment task were investigated. In Experiment 1, participants' judgment accuracy on a retention test was higher after a random practice schedule than after a blocked schedule or operational schedule. ...

2011

Affordable SLAM through the Co-Design of Hardware and Methodology

Francesco Mondada, Hannes Bleuler, Paolo Germano, Michael Bonani, Stéphane Magnenat, Philippe Rétornaz, Valentin Longchamp

SLAM is a prominent feature for autonomous robots operating in undefined environments. Applications areas such as consumer robotics appliances would clearly benefit from low-cost and compact SLAM implementations. The SLAM research community has developed s ...

IEEE Press2010

Contributions to the modeling and design of reconfigurable reflecting cells embedding discrete control elements

Juan Ramon Mosig, Frédéric Bongard, Julien Perruisseau-Carrier, Roberto Torres Sánchez, Ruzica Golubovic

This paper presents new contributions to the modeling and design of reflecting cells embedding discrete control elements such as microelectromechanical system (MEMS) or diodes. First, a rigorous assessment of the different possibilities to simulate and mea ...

Institute of Electrical and Electronics Engineers2010

Distributed Scalable Multi-Robot Learning using Particle Swarm Optimization

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using online learning techniques which allow robots to generate their own controllers online in an automated fash- ion. In multi- ...

2009

Uncertainty Feature Optimization for the Airline Scheduling Problem

Matteo Salani, Niklaus Eggenberg

Uncertainty Feature Optimization is a framework to cope with optimization problems due to noisy data, using an implicit characterazation of the noise. The Aircraft Scheduling Problem (ASP) is a particular case of such problems, where disruptions randomly p ...

2009

Synchronous and Asynchronous Detection of Ultra-Low Light Levels

Peter Seitz, Christian Lotto

Comprehensive analysis of noise sources in photocharge detectors leads to two novel, compact pixel circuits for ultra-low-noise light detection using optimum bandwidth engineering. A synchronous 4T CMOS image sensor pixel with in-pixel amplification reache ...

2009

Analysis of Fitness Noise in Particle Swarm Optimization: From Robotic Learning to Benchmark Functions

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Black-box Optimization Benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 Noiseless Testbed

Alternative Restart Strategies for CMA-ES

Optimizing linear discriminant error correcting output codes using particle swarm optimization

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

The effects of practice schedule on learning a complex judgment task

Affordable SLAM through the Co-Design of Hardware and Methodology

Contributions to the modeling and design of reconfigurable reflecting cells embedding discrete control elements

Distributed Scalable Multi-Robot Learning using Particle Swarm Optimization

Uncertainty Feature Optimization for the Airline Scheduling Problem

Synchronous and Asynchronous Detection of Ultra-Low Light Levels

The effects of practice schedule on learning a complex judgment task

Alternative Restart Strategies for CMA-ES

Distributed Scalable Multi-Robot Learning using Particle Swarm Optimization

Optimizing linear discriminant error correcting output codes using particle swarm optimization

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

Uncertainty Feature Optimization for the Airline Scheduling Problem

Black-box Optimization Benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 Noiseless Testbed

Affordable SLAM through the Co-Design of Hardware and Methodology

Contributions to the modeling and design of reconfigurable reflecting cells embedding discrete control elements

Synchronous and Asynchronous Detection of Ultra-Low Light Levels