YevheniiSemendiak / tud_master_text Public

Notifications You must be signed in to change notification settings
Fork 0
Star 3

Online selection hyper-heuristic with generic parameter control in low-level heuristics (meta-heuristic).

3 stars 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 89 Commits
.github/workflows		.github/workflows
content		content
graphics		graphics
static		static
.gitignore		.gitignore
Makefile		Makefile
README.MD		README.MD
semendiak_thesis.tex		semendiak_thesis.tex
stthesis.cls		stthesis.cls

Repository files navigation

From Parameter Tuning to Dynamic Heuristic Selection

Master of science thesis by Yevhenii Semendiak

TU Dresden, Faculty of Computer Science, Distributed Systems Engineering degree program.

View latest PDF online

Code will be available soon...

About

Online selection hyper-heuristic with generic parameter control in low-level heuristics (meta-heuristic).

reinforcement-learning optimization traveling-salesman meta-heuristic parameter-tuning hyper-heuristic meta-heuristics traveling-salesman-problem surrogate-based-optimization hyper-heuristics parameter-control

Report repository

Releases

No releases published

Packages

No packages published

Contributors 2

Languages

TeX 100.0%