Hyper-heuristics
Optimizing agents with genetic programming : an evaluation of hyper heuristics in dynamic real time logistics
... of hyper-heuristics, heuristic selection and heuristic ...existing heuristics while heuristic generation is concerned with generating new heuristics from components of existing ...of ...
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Constructing constrained version of magic squares using selection hyper heuristics
... There is a variety of simple and elaborate determin- istic and non-deterministic acceptance methods used as a move acceptance component within selection hyper- heuristics. For example, accepting all moves ...
11
Choice function based hyper heuristics for multi objective optimization
... level heuristics during the search process has been observed in ...the hyper-heuristic ...level heuristics regardless of the move acceptance method, except for WFG5 and ...the hyper-heuristic ...
43
Scheduling In Cloud Based On Hyper Heuristics
... Abstract—Traditional scheduling algorithms are used for scheduling tasks in many cloud computing systems. They are used mainly because of their simplicity and easiness to implement. Heuristics when applied to ...
6
An investigation of multi-objective hyper-heuristics for multi-objective optimisation
... tailored heuristics to obtain a reasonable solution in a reasonable amount of ...time. Hyper-heuristics are emerging methodologies designed to generate high quality solutions in an attempt to solve ...
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Optimization of Examination Timetable Using Harmony Search Hyper-Heuristics (HSHH)
... Search-based Hyper- heuristic (HSHH) method for capacitated examination timetabling ...The Hyper Heuristics develop new algorithms for solving problems by combining known heuristics in ...
5
Title: An Enhanced Hyper-Heuristics Task Scheduling In Cloud Computing
... Hyper-heuristics must positively influence the selection of heuristics. The optimized heuristics for a given problem should compute high quality solutions. The learning point should refine the ...
6
Public transport network optimisation in PTV Visum using selection hyper-heuristics
... selection hyper-heuristics are used to optimise Visum public transport routes while taking advantage of Visum analysis tools to evaluate a given candidate ...
36
Multi objective evolutionary algorithms and hyper heuristics for wind farm layout optimisation
... selection hyper-heuristic to solve this problem. Selection hyper-heuristics mix and control a predefined set of low-level (meta)heuristics which operate on ...selection ...
25
Solving high school timetabling problems worldwide using selection hyper heuristics
... Selection hyper-heuristics are general-purpose improvement methodologies that control/mix a given set of low level heuristics during the search ...selection hyper-heuristics combining ...
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Solving urban transit route design problem using selection hyper-heuristics
... selection hyper-heuristics averaged over the ten tri- ...particular hyper-heuristic is statistically significant, not statistically significant, or equally performing against the other selection ...
35
Simple hyper-heuristics control the neighbourhood size of randomised local search optimally for LeadingOnes
... Selection hyper-heuristics (HHs) are randomised search methodologies which choose and execute heuris- tics during the optimisation process from a set of low-level ...low-level heuristics, the idea ...
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A Hidden Markov Model Approach to the Problem of Heuristic Selection in Hyper Heuristics with a Case Study in High School Timetabling Problems
... problems. Hyper-heuristics have emerged as such general purpose high level search methodologies which are mo- tivated by the goal of selecting or generating heuristics automatically to solve a wide ...
30
Hyper heuristics: a survey of the state of the art
... selection hyper-heuristics and their variants to predict DNA ...level heuristics were defined that manipulate a given DNA sequence via insertion, deletion, swap and shift ...level heuristics, ...
29
Towards many-objective optimisation with hyper-heuristics: Identifying good heuristics with indicators
... of hyper-heuristics within many-objective optimisation has received very little ...a hyper-heuristic and applied it to solve multi-objective test problems [11] ...multi-objective ...
10
Performance of selection hyper heuristics on the extended HyFlex domains
... selection hyper-heuristic framework operates on a single solution and iter- atively selects a heuristic from a set of low level heuristics and applies it to the candidate ...selection ...
9
A comparison of crossover control mechanisms within single point selection hyper heuristics using HyFlex
... a hyper-heuristic searches a space of low-level heuristics or heuristic ...selection hyper-heuristic operates on a single solution, selecting and applying a low-level heuristic at each step before ...
7
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation
... Selection hyper-heuristics are automated algorithm selec- tion methodologies that choose between different heuristics during the optimisation ...selection hyper- heuristics choosing ...
8
Selection hyper-heuristics for healthcare scheduling
... A comparison with other state-of-the-art and more general methods is done and the results show that the approaches developed outperform the current best known solution for 12 real-world [r] ...
194
Genetic Programming Hyper-heuristics for Job Shop Scheduling
... across different distributions of arrivals and processing times, and differ- ent scales of shops (number of machines and jobs), is also necessary if they are to be used in practice. Means of improving the ...
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