المنشورات و المؤلفات
Hyper-heuristics have drawn increasing attention from the research community in recent years. In this study
, we propose an extended choice function based hyper-heuristic for multi-objective optimisation based on the great deluge algorithm (GDA).
...
Hyper-heuristics have drawn increasing attention from the research community in recent years, although their roots can be traced back to the 1960’s. They perform a search over the space of heuristics rather than searching over the solution space...
In this study, the performance of three multi-objective selection choice function based hyper-heuristics that are combined with different move acceptance strategies including all-moves (AM), great deluge algorithm (GDA) and late acceptance (LA) are...
Nowadays, the global education system is moving towards using
technology as a prime factor in the learning process. The United Kingdom
is the one of the pioneer countries, is concerned with e-learning and using
Virtual Learning Environments (VLEs)....
In this thesis, we investigate and develop a number of online learning
selection choice function based hyper-heuristic methodologies that attempt to
solve multi-objective unconstrained optimisation problems. For the first time,
we introduce an...
tA selection hyper-heuristic is a high level search methodology which operates over a fixed set of low levelheuristics. During the iterative search process, a heuristic is selected and applied to a candidate solutionin hand, producing a new solution...
Hyper-heuristics are emerging methodologies that perform a search over the space of heuristics in an
attempt to solve difficult computational optimization problems. We present a learning selection choice
function based hyper-heuristic to solve multi...
Multi‐objective hyper‐heuristics is a search method or learning mechanism that operates over a fixed set of low‐level heuristics to solve multi‐objective optimization problems by controlling and combining the strengths of those heuristics. Although...