[HTML][HTML] Recent advances in selection hyper-heuristics
Hyper-heuristics have emerged as a way to raise the level of generality of search techniques
for computational search problems. This is in contrast to many approaches, which represent …
for computational search problems. This is in contrast to many approaches, which represent …
Adaptive evolutionary algorithms and extensions to the hyflex hyper-heuristic framework
HyFlex is a recently proposed software framework for implementing hyper-heuristics and
domain-independent heuristic optimisation algorithms [13]. Although it was originally …
domain-independent heuristic optimisation algorithms [13]. Although it was originally …
Metaheuristic design pattern: surrogate fitness functions
AEI Brownlee, JR Woodward, J Swan - Proceedings of the Companion …, 2015 - dl.acm.org
Certain problems have characteristics that present difficulties for metaheuristics: their
objective function may be either prohibitively expensive, or they may only give a partial …
objective function may be either prohibitively expensive, or they may only give a partial …
[PDF][PDF] Intelligent hyper-heuristics: A tool for solving generic optimisation problems
M Mısır, P De Causmaecker… - KU Leuven …, 2012 - pdfs.semanticscholar.org
Intelligent Hyper-heuristics: A Tool for Solving Generic Optimisation Problems Page 1
Intelligent Hyper-heuristics: A Tool for Solving Generic Optimisation Problems Mustafa Mısır …
Intelligent Hyper-heuristics: A Tool for Solving Generic Optimisation Problems Mustafa Mısır …
An evolutionary-based hyper-heuristic approach for the Jawbreaker puzzle
S Salcedo-Sanz, JM Matías-Román… - Applied …, 2014 - Springer
In this paper a hyper-heuristic algorithm is designed and developed for its application to the
Jawbreaker puzzle. Jawbreaker is an addictive game consisting in a matrix of colored balls …
Jawbreaker puzzle. Jawbreaker is an addictive game consisting in a matrix of colored balls …
Crossover control in selection hyper-heuristics: case studies using MKP and HyFlex
JH Drake - 2014 - eprints.nottingham.ac.uk
Hyper-heuristics are a class of high-level search methodologies which operate over a
search space of heuristics rather than a search space of solutions. Hyper-heuristic research …
search space of heuristics rather than a search space of solutions. Hyper-heuristic research …
Simulation and optimization for ship lock scheduling: a case study
J Verstichel, GV Berghe - 2016 7th International Conference on …, 2016 - ieeexplore.ieee.org
The influence of infrastructural modifications on port and waterway locks to the lock system's
capacity cannot be estimated accurately. This paper introduces a simulation model and …
capacity cannot be estimated accurately. This paper introduces a simulation model and …
MILP and max-clique based heuristics for the eternity II puzzle
The present paper considers a hybrid local search approach to the Eternity II puzzle and to
unsigned, rectangular, edge matching puzzles in general. Both an original mixed-integer …
unsigned, rectangular, edge matching puzzles in general. Both an original mixed-integer …
[PDF][PDF] Deep Reinforcement Learning Hyper-heuristics for Online Marine Port Truck Dispatching
Y Zhang - 2022 - research.nottingham.edu.cn
Real-world combinatorial optimisation problems (COPs) faced in ports are often subject to
dynamics and uncertainties, ie the problem instance is not completely known in advance …
dynamics and uncertainties, ie the problem instance is not completely known in advance …
[PDF][PDF] Move Acceptance in Local Search Metaheuristics for Cross-domain Heuristic Search
WG Jackson - 2021 - core.ac.uk
Many real-world combinatorial optimisation problems (COPs) are computationally hard
problems and search methods are frequently preferred as solution techniques. Traditionally …
problems and search methods are frequently preferred as solution techniques. Traditionally …