Results 1 to 10 of about 17,365 (211)
Robot Skill Learning: From Reinforcement Learning to Evolution Strategies
Paladyn, 2013 Policy improvement methods seek to optimize the parameters of a policy with respect to a utility function. Owing to current trends involving searching in parameter space (rather than action space) and using reward-weighted averaging (rather than gradient
Stulp Freek, Sigaud Olivier
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Online Adaptive Controller Based on Dynamic Evolution Strategies
Applied Sciences, 2018 The majority of non-linear systems nowadays are controlled online using rapid PI-controllers with linear characteristics. Evolutionary algorithms are rarely used, especially for online adaptive control, due to their time complexity.
Dušan Fister +4 more
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Evolutionary Approaches for Adversarial Attacks on Neural Source Code Classifiers
Algorithms, 2023 As the prevalence and sophistication of cyber threats continue to increase, the development of robust vulnerability detection techniques becomes paramount in ensuring the security of computer systems. Neural models have demonstrated significant potential
Valeria Mercuri +2 more
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A Representation for Many Player Generalized Divide the Dollar Games
Games, 2023 Divide the dollar is a simplified version of a two player bargaining problem game devised by John Nash. The generalized divide the dollar game has n>2 players. Evolutionary algorithms can be used to evolve individual players for this generalized game but
Garrison W. Greenwood, Daniel Ashlock
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Algorithms, 2021 Genetic Algorithms are stochastic optimization methods where solution candidates, complying to a specific problem representation, are evaluated according to a predefined fitness function.
Jalal Al-Afandi, András Horváth
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Strategies for the evolution of sex [PDF]
Physical Review E, 2001 We find that the hypothesis made by Jan, Stauffer and Moseley [Theory in Biosc., 119, 166 (2000)] for the evolution of sex, namely a strategy devised to escape extinction due to too many deleterious mutations, is sufficient but not necessary for the successful evolution of a steady state population of sexual individuals within a finite population ...
Tuzel, E, Sevim, V, Erzan, A
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Evolutionary Algorithms Enhanced with Quadratic Coding and Sensing Search for Global Optimization
Mathematical and Computational Applications, 2020 Enhancing Evolutionary Algorithms (EAs) using mathematical elements significantly contribute to their development and control the randomness they are experiencing.
Abdel-Rahman Hedar +3 more
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Strategies of Success for Social Networks: Mermaids and Temporal Evolution
Future Internet, 2020 The main goal of this article is to investigate techniques that can quickly lead to successful social systems by boosting network connectivity. This is especially useful when starting new online communities where the aim is to increase the system ...
Massimo Marchiori, Lino Possamai
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Natural Evolution Strategies [PDF]
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008 This paper presents natural evolution strategies (NES), a novel algorithm for performing real-valued dasiablack boxpsila function optimization: optimizing an unknown objective function where algorithm-selected function measurements constitute the only information accessible to the method.
Daan Wierstra +3 more
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Scalable Management of Heterogeneous Cloud Resources Based on Evolution Strategies Algorithm
IEEE Access, 2022 The emergence and rapid development of Cloud computing have intensively changed the Information Technology paradigm. Cloud computing found its wide application in science and engineering.
Petra Loncar, Paula Loncar
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