Results 41 to 50 of about 3,031,483 (337)
Evolutionary Computation and QSAR Research [PDF]
The successful high throughput screening of molecule libraries for a specific biological property is one of the main improvements in drug discovery. The virtual molecular filtering and screening relies greatly on quantitative structure-activity relationship (QSAR) analysis, a mathematical model that correlates the activity of a molecule with molecular ...
Aguiar-Pulido, Vanessa+5 more
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Evolutionary aspects of reservoir computing [PDF]
Reservoir computing (RC) is a powerful computational paradigm that allows high versatility with cheap learning. While other artificial intelligence approaches need exhaustive resources to specify their inner workings, RC is based on a reservoir with highly nonlinear dynamics that does not require a fine tuning of its parts. These dynamics project input
openaire +5 more sources
Biclustering of Smart Building Electric Energy Consumption Data
Nowadays, smart buildings can collect data regarding the electric energy consumption, which can then be analyzed to gain insights or to predict or identify abnormal energy consumption.
Federico Divina+2 more
doaj +1 more source
Computing an Evolutionary Ordering is Hard [PDF]
We prove that computing an evolutionary ordering of a family of sets, i.e. an ordering where each set intersects with --but is not included in-- the union earlier sets, is NP-hard.
Blerina Sinaimeri+5 more
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Directed microbial evolution harnesses evolutionary processes in the laboratory to construct microorganisms with enhanced or novel functional traits. Attempting to direct evolutionary processes for applied goals is fundamental to evolutionary computation,
Alexander Lalejini+3 more
doaj +1 more source
Evolutionary computation plus dynamic programming for the bi-objective travelling thief problem [PDF]
This research proposes a novel indicator-based hybrid evolutionary approach that combines approximate and exact algorithms. We apply it to a new bi-criteria formulation of the travelling thief problem, which is known to the Evolutionary Computation ...
Junhua Wu+3 more
semanticscholar +1 more source
Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders
We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa+2 more
wiley +1 more source
Supporting Air-Conditioning Controller Design Using Evolutionary Computation
In recent years, as part of the remarkable development of electronic techniques, electronic control has been applied to various systems. Many sensors and actuators have been implemented into those systems, and energy efficiency and performance have been ...
Kazuyuki KOJIMA, Keiichi WATANUKI
doaj +1 more source
GA Approach to Optimize Training Client Set in Federated Learning
Federated learning, where the distribution of distributed data is unknown, is more difficult and costly to train a central model with than traditional machine learning.
Dongseok Kang, Chang Wook Ahn
doaj +1 more source
Music and Evolutionary Computation
This paper presents a brief history of the western music: from its genesis to serialism and the Darmstadt school. Also some mathematical aspects of music are then presented and confronted with music as a form of art. The question is, are these two distinct aspects compatible? Can computers be of real help in automatic composition?
Reis, Cecília+2 more
openaire +3 more sources