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Found 5 papers, 3 papers with code
Local Optima Correlation Assisted Adaptive Operator Selection
In this paper, we propose to empirically analyse the relationship between operators in terms of the correlation between their local optima and develop a measure for quantifying their relationship.
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems
The few existing studies are limited by the dynamic scenarios considered, and by overly complicated algorithms that are unable to benefit from the wealth of contributions provided by the existing CARP literature.
Reinforcement Learning with Dual-Observation for General Video Game Playing
Our proposed technique is implemented with three state-of-the-art reinforcement learning algorithms and tested on the game set of the 2020 General Video Game AI Learning Competition.
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms
Surrogate-assisted evolutionary algorithms (SAEAs) are powerful optimisation tools for computationally expensive problems (CEPs).
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems
A performance selector is designed to switch the search dynamically and automatically between the global and local search stages.
