Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning.

William B. Yates Edward C. Keedwell

Published in: GECCO (Companion) (2017)

Keyphrases

learning algorithm
k means
cost function
dynamic programming
clustering algorithm
objective function
computational complexity
search space
optimal solution
similarity measure
particle swarm optimization
search procedure
evolutionary computation