Hyper-heuristics are heuristic management methodologies aiming a high level of gener-ality in problem solving [1]. Most of the meta-heuristics or other approaches perform a search over the solution space directly, whereas, hyper-heuristics as high level strategies search the heuristic space, generated by a set of low-level heuristics. One of the hyper
Hyper-heuristics is a very active field that is developing all the time. Defined as “heuristics to c...
Reusability is a desired feature for search and optimisation strategies. Low-level, problem-dependen...
Heuristics are strategies using readily accessible, loosely applicable information to control proble...
Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal of a...
Abstract. Hyper-heuristic frameworks have emerged out of the shadows of meta-heuristic techniques. I...
Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal of a...
Hyper-heuristics are an optimization methodology which ‘search the space of heuristics’ rather than ...
Abstract This chapter introduces and overviews an emerging methodology in search and optimisation. O...
Hyper-heuristics represent a novel search methodology that is motivated by the goal of automating th...
Hyper-heuristics have emerged as a way to raise the level of generality of search techniques for com...
This chapter presents a literature review of the main advances in the field of hyper-heuristics, sin...
There is a growing interest towards the design of reusable general purpose search methods that are a...
Hyper-heuristics have emerged as a way to raise the level of generality of search techniques for com...
The current state of the art in hyper-heuristic research comprises a set of approaches that share th...
Practitioners often need to solve real world problems for which no custom search algorithms exist. I...
Hyper-heuristics is a very active field that is developing all the time. Defined as “heuristics to c...
Reusability is a desired feature for search and optimisation strategies. Low-level, problem-dependen...
Heuristics are strategies using readily accessible, loosely applicable information to control proble...
Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal of a...
Abstract. Hyper-heuristic frameworks have emerged out of the shadows of meta-heuristic techniques. I...
Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal of a...
Hyper-heuristics are an optimization methodology which ‘search the space of heuristics’ rather than ...
Abstract This chapter introduces and overviews an emerging methodology in search and optimisation. O...
Hyper-heuristics represent a novel search methodology that is motivated by the goal of automating th...
Hyper-heuristics have emerged as a way to raise the level of generality of search techniques for com...
This chapter presents a literature review of the main advances in the field of hyper-heuristics, sin...
There is a growing interest towards the design of reusable general purpose search methods that are a...
Hyper-heuristics have emerged as a way to raise the level of generality of search techniques for com...
The current state of the art in hyper-heuristic research comprises a set of approaches that share th...
Practitioners often need to solve real world problems for which no custom search algorithms exist. I...
Hyper-heuristics is a very active field that is developing all the time. Defined as “heuristics to c...
Reusability is a desired feature for search and optimisation strategies. Low-level, problem-dependen...
Heuristics are strategies using readily accessible, loosely applicable information to control proble...