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Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”
Mathematics, 2023 Swarm and evolutionary computation (SEC) [...]
Yong-Hyuk Kim, Fabio Caraffini
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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
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Knowledge Learning for Evolutionary Computation
IEEE Transactions on Evolutionary ComputationEvolutionary computation (EC) is a kind of meta-heuristic algorithm that takes inspiration from natural evolution and swarm intelligence behaviors. In the EC algorithm, there is a huge amount of data generated during the evolutionary process.
Yiyi Jiang +3 more
semanticscholar +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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Social Dilemmas and Cooperation in Complex Networks [PDF]
, 2006 In this paper we extend the investigation of cooperation in some classical evolutionary games on populations were the network of interactions among individuals is of the scale-free type.
ENEA PESTELACCI +5 more
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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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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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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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Evolving interesting maps for a first person shooter [PDF]
, 2011 We address the problem of automatically designing maps for first-person shooter (FPS) games. An efficient solution to this procedural content generation (PCG) problem could allow the design of FPS games of lower development cost with near-infinite replay
Cardamone, Luigi +4 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