Hyper-heuristics: a survey of the state of the art
University of Stirling · Université de Montréal · +2 more institutions
Abstract
Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal of automating the design of heuristic methods to solve hard computational search problems. An underlying strategic research challenge is to develop more generally applicable search methodologies. The term hyper-heuristic is relatively new; it was first used in 2000 to describe heuristics to choose heuristics in the context of combinatorial optimisation. However, the idea of automating the design of heuristics is not new; it can be traced back to the 1960s. The definition of hyper-heuristics has been recently extended to refer to a search method or learning mechanism for selecting or generating heuristics to solve…
Citation impact
- FWCI
- 138.85
- Percentile
- 100%
- References
- 286
Authors
7Topics & keywords
- Heuristics
- Hyper-heuristic
- Computer science
- Heuristic
- Context (archaeology)
- Incremental heuristic search
- Set (abstract data type)
- Artificial intelligence