Results 31 to 40 of about 250,700 (315)
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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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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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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Evolutionary games and computer simulations. [PDF]
Proceedings of the National Academy of Sciences, 1993 The Prisoner's Dilemma has long been considered the paradigm for studying the emergence of cooperation among selfish individuals. Because of its importance, it has been studied through computer experiments as well as in the laboratory and by analytical means. However, there are important differences between the way a system composed of many interacting
Bernardo A. Huberman, Natalie S. Glance
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019 In January 2019, DeepMind revealed AlphaStar to the world-the first artificial intelligence (AI) system to beat a professional player at the game of StarCraft II-representing a milestone in the progress of AI. AlphaStar draws on many areas of AI research, including deep learning, reinforcement learning, game theory, and evolutionary computation (EC ...
Arulkumaran, K, Cully, A, Togelius, J
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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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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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