Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Howard M. Schwartz"'
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2294f4a90a0fdaf483de797113e948ac
https://doi.org/10.1109/ssci51031.2022.10022098
https://doi.org/10.1109/ssci51031.2022.10022098
Publikováno v:
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18446789c51b66fe4787fa60277c25c8
https://doi.org/10.1109/fuzz-ieee55066.2022.9882685
https://doi.org/10.1109/fuzz-ieee55066.2022.9882685
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 235:2095-2112
Solving space differential game in an unknown environment remains a challenging problem. This article proposes a pretrained fuzzy actor–critic learning algorithm for dealing with the space pursuit-evasion game in fixed time. It is supposed that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::813621802d89b5da9e67b92607914c94
https://doi.org/10.1177/0954410021992439
https://doi.org/10.1177/0954410021992439
Autor:
Howard M. Schwartz, Ian Showalter
Publikováno v:
Evolutionary Intelligence. 14:1415-1430
Neuromodulation is a biologically-inspired technique that can adapt the per-connection learning rates of synaptic plasticity. Neuromodulation has been used to facilitate unsupervised learning by adapting neural network weights. Multiobjective evoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ee79f97e1c2d1ffc4c245934a1f6d96
https://doi.org/10.1007/s12065-020-00394-9
https://doi.org/10.1007/s12065-020-00394-9
Publikováno v:
CEC
In the physical world, individuals compete against others within their own population or separately evolving populations. Robotic agents will soon face this coevolutionary and adversarial reality. Many challenges not encountered in the evolution of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5ae11985a6e4b2241c71e466976962b
https://doi.org/10.1109/cec45853.2021.9504892
https://doi.org/10.1109/cec45853.2021.9504892
Autor:
Howard M. Schwartz, Ian Showalter
Publikováno v:
SSCI
Determining meta-parameter settings is a longstanding challenge in evolutionary computing, and often involves running repeated simulations with successive estimated values until acceptable values are found. The term metaevolution is often used to des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecf7860d703d0879e6a1cd4382543ed4
https://doi.org/10.1109/ssci47803.2020.9308450
https://doi.org/10.1109/ssci47803.2020.9308450
Autor:
Howard M. Schwartz, Ian Showalter
Publikováno v:
SSCI
Often in multi-objective problems, several elemental objectives are combined into compound objectives by using auxiliary equations to reduce these problems to just one or two objectives. Reducing the number of objectives simplifies the problem into a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eba7c26ec164e5d1236a67994b769f81
https://doi.org/10.1109/ssci47803.2020.9308403
https://doi.org/10.1109/ssci47803.2020.9308403
Publikováno v:
SMC
This paper presents a machine-learning algorithm applied to a quadcopter application. We are proposing a fuzzy actor-critic learning (FACL) algorithm. This method enables a pursuer quadcopter to capture an evader quadcopter in the pursuit-evasion (PE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1e99153246afad1efdf482f74c173b9
https://doi.org/10.1109/smc42975.2020.9283491
https://doi.org/10.1109/smc42975.2020.9283491
Publikováno v:
SMC
In this paper, a deceptive version of guarding a territory in a grid world is proposed. Like the original version, a defender tries to intercept an invader before it invades the targets. However, the discerning invader can deceive the defender about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::163bdf619b6aa88840b307fa78803462
https://doi.org/10.1109/smc42975.2020.9283173
https://doi.org/10.1109/smc42975.2020.9283173
Autor:
Ian Showalter, Howard M. Schwartz
Publikováno v:
CEC
Autonomous vehicles in the pursuit-evasion game, subject to the effects of mass and drag, are controlled using an evolutionary multiobjective neuromodulated controller with unsupervised learning. Multiobjective evolution of network weights and topolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::405dcb07700ec279b184a992112bafc5
https://doi.org/10.1109/cec48606.2020.9185818
https://doi.org/10.1109/cec48606.2020.9185818