Self-Adaptation of Meta-Parameters for Lamarckian-Inherited Neuromodulated Neurocontrollers in the Pursuit-Evasion Game

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 describe the optimization of one or more of the meta-...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	2020 IEEE Symposium Series on Computational Intelligence (SSCI) s. 2592 - 2599
Hlavní autori:	Showalter, Ian, Schwartz, Howard
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2020
Predmet:	Evolutionary computation Evolutionary Meta-parameters Games Hebbian Learning Lamarckian Inheritance Multi-objective Neurocontrollers Neuroevolution Neuromodulation Optimization Parameter Control Parameter Tuning Pursuit-Evasion Sociology Statistics Unsupervised Learning
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!