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Evolutionary algorithm applications for IoTs dedicated to precise irrigation systems: state of the art
The world is currently undergoing water scarcity problems, even if it seems to be the most
abundant resource on earth. However, the freshwater account is really in small amounts …
abundant resource on earth. However, the freshwater account is really in small amounts …
[كتاب][B] Designing scientific applications on GPUs
R Couturier - 2013 - books.google.com
Many of today's complex scientific applications now require a vast amount of computational
power. General purpose graphics processing units (GPGPUs) enable researchers in a …
power. General purpose graphics processing units (GPGPUs) enable researchers in a …
The Pi-puck extension board: a Raspberry Pi interface for the e-puck robot platform
This paper presents the Pi-puck extension board-an interface between the e-puck robot
platform and a Raspberry Pi single-board computer that enhances the processing power …
platform and a Raspberry Pi single-board computer that enhances the processing power …
EASEA: specification and execution of evolutionary algorithms on GPGPU
EASEA is a framework designed to help non-expert programmers to optimize their problems
by evolutionary computation. It allows to generate code targeted for standard CPU …
by evolutionary computation. It allows to generate code targeted for standard CPU …
A multiobjective and interactive genetic algorithm to optimize the building form in early design stages
X Marsault - Building Simulation 2013, 2013 - publications.ibpsa.org
As simulation researchers in the field of performancedriven architecture, we mainly describe
in this paper an interactive genetic algorithm (IGA) especially developed for eco …
in this paper an interactive genetic algorithm (IGA) especially developed for eco …
MCMAS: a toolkit to benefit from many-core architecure in agent-based simulation
Multi-agent models and simulations are used to describe complex systems in domains such
as biological, geographical or ecological sciences. The increasing model complexity results …
as biological, geographical or ecological sciences. The increasing model complexity results …
Harnessing evolutionary algorithms for enhanced characterization of ENSO events
Abstract The El Niño-Southern Oscillation (ENSO) significantly influences the complexity
and variability of the global climate system, driving its variability. ENSO events' irregularity …
and variability of the global climate system, driving its variability. ENSO events' irregularity …
WB Langdon “Jaws 30”
At the 30th anniversary of 'Jaws', the Genetic programming field has much to celebrate.
However, in order continue to build on these successes, it might be necessary to look more …
However, in order continue to build on these successes, it might be necessary to look more …
Accelerating analysis of void space in porous materials on multicore and GPU platforms
Develo** computational tools that enable discovery of new materials for energy-related
applications is a challenge. Crystalline porous materials are a promising class of materials …
applications is a challenge. Crystalline porous materials are a promising class of materials …
Using GPU for multi-agent soil simulation
Multi-Agent Systems (MAS) can be used to model systems where the global behavior cannot
be uniformly represented by standard techniques such as partial differential equations or …
be uniformly represented by standard techniques such as partial differential equations or …