Results 31 to 40 of about 258,840 (301)
A Novel Multi-Task Optimization Algorithm Based on the Brainstorming Process
IEEE Access, 2020 Evolutionary multi-task optimization (EMTO) is an emerging research topic in the field of evolutionary computation, which aims to simultaneously optimize several component tasks within a problem and output the best solution for each task.
Chao Lyu, Yuhui Shi, Lijun Sun
doaj +1 more source
An Evolutionary Computation Approach for Twitter Bot Detection
Applied Sciences, 2022 Bot accounts are automated software programs that act as legitimate human profiles on social networks. Identifying these kinds of accounts is a challenging problem due to the high variety and heterogeneity that bot accounts exhibit.
Luigi Rovito +3 more
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Towards procedural strategy game generation : evolving complementary unit types [PDF]
, 2011 The Strategy Game Description Game Language (SGDL) is intended to become a complete description of all aspects of strategy games, including rules, parameters, scenarios, maps, and unit types.
European Conference on the Applications of Evolutionary Computation +3 more
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Prediction of Drifter Trajectory Using Evolutionary Computation
Discrete Dynamics in Nature and Society, 2018 We used evolutionary computation to predict the trajectory of surface drifters. The data used to create the predictive model comprise the hourly position of the drifters, the flow and wind velocity at the location, and the location predicted by the MOHID
Yong-Wook Nam, Yong-Hyuk Kim
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Supporting Air-Conditioning Controller Design Using Evolutionary Computation
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2008 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
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A study of the effects of clustering and local search on radio network design: evolutionary computation approaches [PDF]
, 2008 Eighth International Conference on Hybrid Intelligent Systems. Barcelona, 10-12 September 2008The goal of this paper is twofold. First, we want to make a study about how evolutionary computation techniques can efficiently solve the radio network design ...
Isasi, Pedro +2 more
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Pump Scheduling Optimization Using Asynchronous Parallel Evolutionary Algorithms
CLEI Electronic Journal, 2018 Optimizing the pump-scheduling is an interesting proposal to achieve cost reductions in water distribution pumping stations. As systems grow, pump-scheduling becomes a very difficult task.
Christian von Lucken +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan +5 more
wiley +1 more source
Biclustering of Smart Building Electric Energy Consumption Data
Applied Sciences, 2019 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
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source