[PDF] Top 20 A tensor based hyper heuristic for nurse rostering
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A tensor based hyper heuristic for nurse rostering
... There are various benchmarks for nurse rostering. Curtois (2015) pro- vides a comprehensive public benchmark including the latest best known results together with the approaches yielding them. The ... See full document
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Grammatical evolution hyper heuristic for combinatorial optimization problems
... currently based at the University of Nottingham’s Malaysia campus, where he is serving as Vive-Provost (Research and Knowledge ...and Hyper-Heuristics, Evolutionary Computation and Artificial Intelligence, ... See full document
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Lookahead policy and genetic algorithm for solving nurse rostering problems
... It has been observed that more than 60% of the computational time spent by our latest ADP implementation is used to produce the solutions in each stage. This has been the motivation for developing an improved way to ... See full document
12
A heuristic algorithm based on multiassignment procedures for nurse scheduling
... for nurse scheduling ...different nurse scheduling ...specific nurse rostering problem being solved can be done easily by having a procedure to check each constraint (hard or soft) in order to ... See full document
24
A learning automata based multiobjective hyper heuristic
... selection hyper- heuristic with the adaptation ...selection hyper-heuristics leading to an improved overall ...used tensor analysis as a machine learning approach to decide which low level ... See full document
15
A hybrid integer and constraint programming approach to solve nurse rostering problems
... the Nurse Rostering Problem, which have the potential to provide better performance for large-size problem instances when the modelling is designed in a customised ... See full document
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A harmony search algorithm for nurse rostering problems
... population based and local search based meta-heuristic algorithms developed to solve NRPs include GAs [12, 13], TS [14, 15], SA [16, 17] and many ... See full document
22
A time predefined variable depth search for nurse rostering
... There also a few possibilities for future work. It may be possible to develop a more powerful algorithm by using the variable depth search as the improvement method in a population based approach such as a memetic ... See full document
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A tensor based selection hyper heuristic for cross domain heuristic search
... selection hyper-heuristic combines heuristic selection and move acceptance methods under an iterative single point-based search ...selected heuristic and a decision is made whether the ... See full document
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A hybrid integer programming and variable neighborhood search algorithm to solve Nurse Rostering Problems
... The Nurse Rostering Problem (NRP) is defined as assigning a number of nurses to different shifts during a specified planning period, considering some regulations and ...greedy heuristic, the solution ... See full document
35
An apprenticeship learning hyper heuristic for vehicle routing in HyFlex
... A hyper-heuristic is a search method or a learning mechanism that controls a set of low level heuristics or combines different heuristic components to generate heuristics for solving a given ... See full document
8
A grouping hyper heuristic framework: application on graph colouring
... Selection hyper-heuristics are high level general purpose search methodologies that operate on a space formed by a set of low level heuristics rather than ...selection hyper-heuristics are iterative and ... See full document
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Late Acceptance Selection Hyper heuristic for Wind Farm Layout Optimisation Problem
... simple heuristic approaches to solve the wind layout optimisation ...and hyper-heuristics demonstrated even better results ...high-level hyper-heuristic approach for solving the wind farm ... See full document
5
A genetic programming hyper heuristic for the multidimensional knapsack problem
... a hyper- heuristic to evolve heuristics for the biobjective 0-1 knapsack ...a hyper-heuristic by Keller and Poli [23] for the travelling salesman problem, by Fukunaga [9] to generate local ... See full document
5
e Roster Policy: Insights and implications of codifying nurse scheduling
... Drake, “The nurse rostering problem: from operational research to organizational reality?,” Journal of Advanced Nursing, vol.. Silvestro, “Towards a model of strategic roster planning an[r] ... See full document
26
Heuristic Hyper-minimization of Finite State Lexicons
... automatically, based on the morpheme structure implicit in the language ...presented hyper-minimization method, the transducer is reduced to 10,1% of the original size, with lookup speed decreased only by ... See full document
6
On the hypersurface of randers change of finsler square metric
... Theorem 4.4. The necessary and sufficient condition of the Randers change of Square metric for Hypersurface to be a hyperplane of second kind is given by . Proof: Since from Lemma (6) is a hyper plane of second ... See full document
12
Impairment -Aware Static Route and Wavelength Assignment in WDM Networks
... The three prioritization categories are applied to the demands iteratively starting with the calculation of the number of available wavelength C ∈ W for each i. The available wavelengths for a path belonging to demand i ... See full document
116
A Tabu Search hyper heuristic strategy for t way test suite generation
... We conduct our statistical analysis for all the obtained results in Tables 4 through 11 based on multiple pairwise comparisons with 95% confidence level (i.e. α=0.05). To be specific, we adopt the Friedman tests ... See full document
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A case study of controlling crossover in a selection hyper heuristic framework using the multidimensional knapsack problem
... each hyper-heuristic is sufficient as these instances are extremely ...the hyper-heuristics with average performance over 10 runs ...Strategy-based hyper-heuristics as suggested by ... See full document
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