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An empirical study of hyperheuristics for managing very large sets of low level heuristics
S. Remde
, P. Cowling
,
K. Dahal
, N. Colledge
, E. Selensky
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Citations (Scopus)
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Computer Science
Decision Point
100%
Scheduling Problem
100%
Real-World Problem
100%
Problem Instance
100%
Metaheuristics
100%
Combinatorial Optimization Problem
100%
Solution Quality
100%
Solution Method
100%
Keyphrases
Hyper-heuristics
100%
Large Set
100%
Low-level Heuristics
100%
CPU Time
22%
Solution Landscape
11%
Combinatorial Optimization Problem
11%
Large Collection
11%
Solution Method
11%
Solution Quality
11%
Scheduling Problem
11%
Workforce Scheduling
11%
Tabu
11%
Quality Time
11%
Real-world Problems
11%
Problem Instances
11%
Mathematics
Eventuality
100%
Wide Range
100%
World Problems
100%
Combinatorial Optimization Problem
100%