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pro vyhledávání: '"Cleghorn, Christopher Wesley"'
In this work, we tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents and increasingly challenging environments. Unlike previous open-ended approaches that optimize agents using a fixed neural network t
Externí odkaz:
http://arxiv.org/abs/2210.11442
Autor:
Cleghorn, Christopher Wesley
Particle swarm optimization (PSO) is a well known population-based search algorithm, originally developed by Kennedy and Eberhart in 1995. The PSO has been utilized in a variety of application domains, providing a wealth of empirical evidence for its
Externí odkaz:
http://hdl.handle.net/2263/33333
Autor:
Cleghorn, Christopher Wesley
Particle swarm optimization (PSO) is a well-known stochastic population-based search algorithm, originally developed by Kennedy and Eberhart in 1995. Given PSO's success at solving numerous real world problems, a large number of PSO variants have bee
Externí odkaz:
http://hdl.handle.net/2263/61265
Publikováno v:
Swarm Intelligence (9783642326493); 2012, p292-299, 8p
