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Concept

Mutation (genetic algorithm)

Publications associées (6)

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

Romain Christophe Rémy Fleury, Janez Rus

We introduce a reconfigurable medium for the manipulation of elastic propagation properties of Lamb waves. It is based on a shape memory polymer (SMP) with temperature-dependent Young's modulus. Waves are excited by a laser pulse and detected by a laser vi ...

IOP Publishing Ltd2023

Thermo-Economic Optimisation of Integrated Ethanol and Methanol Production in the Sugarcane Industry

François Maréchal, Adriano Viana Ensinas, Emanuela Peduzzi, Priscilla Caliandro

The present paper evaluated a sugarcane biorefinery producing ethanol, through the conventional process by sugars fermentation and methanol through bagasse and leaves gasification, hot cleaning and synthesis. The sugarcane biorefinery was modelled using fl ...

Aidic Servizi Srl2014

Selection of Optimal Cutting Conditions for Pocket Milling Using Genetic Algorithm

Paul Xirouchakis, Saurabh Aggarwal

Pocket milling is the most known machining operation in the domains of aerospace, die and mold manufacturing. In the present work, GA-OptMill, a Genetic Algorithm (GA) based optimization system for minimization of pocket milling time, is developed. A wide ...

Springer London Ltd2013

A hybrid hypercube - genetic algorithm approach for deploying many emergency response mobile units in an urban network

Nikolaos Geroliminis

Emergency response services are critical for modern societies. This paper presents a model and a heuristic solution for the optimal deployment of many emergency response units in an urban transportation network and an application for transit mobile repair ...

2011

Feature Selection using Stochastic Search: An Application to System Identification

Ian Smith, Sandro Saitta

System identification using multiple-model strategies may involve thousands of models with several parameters. However, only a few models are close to the correct model. A key task involves finding which parameters are important for explaining candidate mo ...

American Society of Civil Engineers2010

Multi-cellular reconfigurable circuits : evolution, morphogenesis and learning

Daniel Roggen

Bio-inspired electronic circuits have the potential to address some of the shortcomings of conventional electronic circuits, such as lack of applicability to ill-defined problems, of robustness, or of adaptivity to unexpectedly changing environments. Bio-i ...

EPFL2005