Concept

Differential evolution

Related publications (32)

Distributed Constraint Optimization with Structured Resource Constraints

Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on agents' resource consumption must be taken into account. To address such scenari ...

2009

Extraction of audio features specific to speech production for multimodal speaker detection

Jean-Philippe Thiran, Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

A method that exploits an information theoretic framework to extract optimized audio features using video information is presented. A simple measure of mutual information (MI) between the resulting audio and video features allows the detection of the activ ...

2008

Local search techniques for multi-agent constraint optimization problems

Quang Huy Nguyen

Combinatorial optimization problems in the real world are ubiquitous. Practical applications include planning, scheduling, distributed control, resource allocation, etc. These problems often involve multiple agents and can be formulated as a Multi-agent Co ...

EPFL2008

Distributed Adaptation in Multi-Robot Search using Particle Swarm Optimization

Alcherio Martinoli, James Pugh

We present an adaptive strategy for a group of robots engaged in the localization of multiple targets. The robotic search algorithm is inspired by chemotaxis behavior in bacteria, and the algorithmic parameters are updated using a distributed implementatio ...

2008

Real-time optimization of continuous processes via constraints adaptation

Dominique Bonvin, Benoît Chachuat, Alejandro Gabriel Marchetti

In the framework of process optimization, measurements can be used to compensate for the effect of uncertainty. The method studied in this paper combines a process model and measurements to iteratively improve the operation of continuous processes. Unlike ...

2007

Batch process optimization via run-to-run constraints adaptation

Dominique Bonvin, Benoît Chachuat, Alejandro Gabriel Marchetti

In the batch process industry, the available models carry a large amount of uncertainty and can seldom be used to directly optimize real processes. Several measurement-based optimization methods have been proposed to deal with model mismatch and process di ...

2007

Differential Evolution applied to a multimodal information theoretic optimization problem

Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

This paper discusses the problems raised by the optimization of a mutual information-based objective function, in the context of a multimodal speaker detection. As no approximation is used, this function is highly nonlinear and plagued by numerous local mi ...

2006

Measurement and modelling of semi-batch reactions using small-scale reaction calorimetry, in-situ spectroscopy and gas consumption/production

Julien Léo Billeter, Konrad Hungerbühler

The rapid and complete characterization of chemical reaction mechanisms is of the utmost importance in terms of chemical understanding, safety and efficiency. In this presentation a new small volume reaction calorimeter (25-45mL) is described. With this re ...

2006

Extraction of Audio Features Specific to Speech using Information Theory and Differential Evolution

Jean-Philippe Thiran, Jean-Marc Vesin, Murat Kunt, Vlad Popovici, Patricia Besson

We present a method that exploits an information theoretic framework to extract optimized audio features using the video information. A simple measure of mutual information (MI) between the resulting audio features and the video ones allows to detect the a ...

2005

A Distributed, Complete Method for Multi-Agent Constraint Optimization

Boi Faltings, Adrian Petcu

We present in this paper a new complete method for distributed constraint optimization. This is a utility-propagation method, inspired by the sum-product algorithm. The original algorithm requires fixed message sizes, linear memory, and is time-linear in t ...

2004

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