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Design of a Passive Flow Regulator Using a Genetic Algorithm

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Passive ow control valves are usually intended to deliver or drain a uid at a constant rate independently of pressure variations. Micro uidic devices made of a stack of two plates are considered here: the rst plate comprises a exible silicon membrane havin ...

2017

Parallelization of microfluidic flow-focusing devices

Esther Amstad

Microfluidic flow-focusing devices offer excellent control over fluid flow, enabling formation of drops with a narrow size distribution. However, the throughput of microfluidic flow-focusing devices is limited and scale-up through operation of multiple dro ...

Amer Physical Soc2017

Building shape optimisation to reduce air-conditioning needs using constrained evolutionary algorithms

Gianpiero Caruso

The purpose of this paper is to analyse the optimal three-dimensional form of buildings that minimise energy consumption due to solar irradiation. We use an evolutionary algorithm (hybrid CMA-ES/HDE algorithm) already applied to maximise solar energy utili ...

Pergamon-Elsevier Science Ltd2015

Retrieval of vertical particle concentration profiles by optical remote sensing: a model study

Alfred Johny Wüest

Water-leaving radiance is subject to depth variability of the water constituents. The optical penetration depth is strongly dependent on the wavelength λ, which allows to retrieve a non-uniform vertical profile of an optically-active constituent CTSM(z) fr ...

Optical Society of America2014

Viability Principles for Constrained Optimization Using a (1+1)-CMA-ES

Dario Floreano, Andrea Maesani

Viability Evolution is an abstraction of artificial evolution which operates by eliminating candidate solutions that do not satisfy viability criteria. Viability criteria are defined as boundaries on the values of objectives and constraints of the problem ...

Springer International Publishing2014

Finding Proper Configurations for Modular Robots by Using Genetic Algorithm on Different Terrains

Salman Faraji

This paper presents a novel self-reconfigurable robotic system named ACMoD where each module can move itself individually. It can also attach to other modules to build various configurations and change this configuration adaptively on different terrains. I ...

2013

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Optimizing collective behavior in multiagent systems requires algorithms to find not only appropriate individual behaviors but also a suitable composition of agents within a team. Over the last two decades, evolutionary methods have been shown to be a prom ...

Institute of Electrical and Electronics Engineers2013

Assessing Gaps and Needs for Integrating Building Performance Optimization Tools in Net Zero Energy Buildings Design

Shady Galal Mohamed Attia

This paper summarizes a study undertaken to reveal potential challenges and opportunities for integrating optimization tools in net zero energy buildings (NZEB) design. The paper reviews current trends in simulation-based building performance optimization ...

Elsevier2013

Optimization of High Speed Synchronous Machines using Genetic Algorithms

Pascal Clausen

Le but du projet est d’optimiser un moteur synchrone par des algorithmes génétiques. L’objectif de ce projet est de : • Etudier les algorithmes génétiques et ses applications. • Mettre en équation un moteur synchrone selon les différentes variables (électr ...

2013

The simplest use of centrifuges to measure soil properties relies on steady state conditions. Analytical solutions, especially if they are simple, make interpretation of data more direct and transparent. Previous approximations are simplified and have a gr ...

American Geophysical Union2013