Catégorie

Métaheuristique

Publications associées (28)

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Idan Segev, Werner Alfons Hilda Van Geit, Jean-Denis Georges Emile Courcol, Giuseppe Chindemi, Michael Emiel Gevaert

At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available experimental constraints is a global nonlinear optimisation problem with a comple ...

Frontiers Research Foundation2016

A method for taking into account seasonal storage in a district energy system optimisation problem

François Maréchal, Jessen Page, Jean-Loup Sylvain Robineau

In this work, a method for taking into account seasonal storage in an energy optimisation problem is developed. A master-slave optimisation procedure is applied, in which the master optimisation is an evolutionary algorithm, while the slave optimisation is ...

2016

Hybrid Parameter Optimization Methods

Werner Alfons Hilda Van Geit

Springer New York2015

Hessian Schatten-Norm Regularization for Linear Inverse Problems

Michaël Unser, John Paul Ward, Stamatios Lefkimmiatis

We introduce a novel family of invariant, convex, and non-quadratic functionals that we employ to derive regularized solutions of ill-posed linear inverse imaging problems. The proposed regularizers involve the Schatten norms of the Hessian matrix, which a ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Multi-objective investment and operating optimization of energy systems with integer cut constraints and evolutionary algorithm

François Maréchal, Samira Fazlollahi

The design and operating of energy systems are key issues for matching the energy supply and consumption. Several optimization methods based on the Mixed Integer Linear Programming (MILP) have been developed for this purpose. However, due to the uncertaint ...

2011

Optimization Problem Coupled with Differential Equations: A Numerical Algorithm Mixing an Interior-Point Method and Event Detection

Jacques Rappaz, Christian Landry, Alexandre Caboussat

The numerical analysis of a dynamic constrained optimization problem is presented. It consists of a global minimization problem that is coupled with a system of ordinary differential equations. The activation and the deactivation of inequality constraints ...

2010

Replaying the Evolutionary Tape: Biomimetic Reverse Engineering of Gene Networks

Dario Floreano, Claudio Mattiussi, Daniel Marbach

In this paper, we suggest a new approach for reverse engineering gene regulatory networks, which consists of using a reconstruction process that is similar to the evolutionary process that created these networks. The aim is to integrate prior knowledge int ...

Blackwell Publishing, 9600 Garsington Rd, Oxford Ox4 2Dq, Oxen, England2009

Controlled and localized genetic manipulation in the brain

Carl Petersen

Brain structure and function are determined in part through experience and in part through our inherited genes. A powerful approach for unravelling the balance between activity-dependent neuronal plasticity and genetic programs is to directly manipulate th ...

2006