A HYBRID METHOD FOR SOLVING TIMETABLING PROBLEMS BASED ON THE EVOLUTIONARY APPROACH
Timetabling problems are often difficult and time-consuming to solve. Most of the methods of solving these problems are limited to one problem instance or class.
MACIEJ NORBERCIAK
doaj
Visualization for hyper-heuristics
Modern society is faced with ever more complex problems, many of which can be formulated as generate-and-test optimization problems. General-purpose optimization algorithms are not well suited for real-world scenarios where many instances of the same ...
Simon, Luke
core +1 more source
Large neighborhood search and hyper-heuristics for the capacitated p-median problem. [PDF]
Gjergji I, Kletzander L, Musliu N.
europepmc +1 more source
Improving the performance of vector hyper-heuristics through local search
Hyper-heuristics enable us to selectively apply the most suit-able low-level heuristic depending on the properties of the problem at hand. They can be used for solving Constraint Satisfaction Problems (CSP) in dierent ways considering the variety of ...
Santiago Enrique +5 more
core
Learning-based multi-objective hyper-heuristic algorithm for reconfigurable assembly line scheduling problems. [PDF]
Zhao H +5 more
europepmc +1 more source
A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing. [PDF]
Juárez J +2 more
europepmc +1 more source
Influence of Bloat Control on Relocation Rules Automatically Designed via Genetic Programming. [PDF]
Škalec T, Đurasević M.
europepmc +1 more source
WHFDL: an explainable method based on World Hyper-heuristic and Fuzzy Deep Learning approaches for gastric cancer detection using metabolomics data. [PDF]
Mahdavi N +8 more
europepmc +1 more source
Viscoelastic characterization of the human osteosarcoma cancer cell line MG-63 using a fractional-order zener model through automated algorithm design and configuration. [PDF]
Duque-Gimenez GC +7 more
europepmc +1 more source

