Results 141 to 150 of about 1,136 (193)

A perturbative clustering hyper-heuristic framework for the Danish railway system [PDF]

, 2015
Burke, Edmund K., M. Pour, Shahrzad, Rasmussen, Kourosh Marjani   +2 more
core  

Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning. [PDF]

Biomimetics (Basel)
Wang M, Yuan P, Hu P, Yang Z, Ke S, Huang L, Zhang P.   +6 more
europepmc   +1 more source

A bi-criterion sequence-dependent scheduling problem with order deliveries. [PDF]

PeerJ Comput Sci
Xu JY, Lin WC, Hu KX, Chang YW, Wu WH, Hsu PH, Wu TH, Wu CC.   +7 more
europepmc   +1 more source

Ant algorithm hyperheuristic approaches for scheduling problems [PDF]

For decades, optimisation research has investigated methods to find optimal solutions to many problems in the fields of scheduling, timetabling and rostering. A family of abstract methods known as metaheuristics have been developed and applied to many of these problems, but their application to specific problems requires problem-specific coding and ...
openaire  

Learning-based multi-objective hyper-heuristic algorithm for reconfigurable assembly line scheduling problems

PLoS ONE
Haoyi Zhao, Xiangming Huang, Guoliang Liu, Zixiang Li, Fan Chen, Gaojie Lu   +5 more
doaj  

Honey Bee Cooperative HyperHeuristic

Procedia Computer Science, 2021
Imen Oueslati, Moez Hammami
exaly   +2 more sources

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A Tabu-Search Hyperheuristic for Timetabling and Rostering

Journal of Heuristics, 2003
Hyperheuristics can be defined to be heuristics which choose between heuristics in order to solve a given optimisation problem. The main motivation behind the development of such approaches is the goal of developing automated scheduling methods which are not restricted to one problem.
Edmund K Burke, Graham Kendall
exaly   +2 more sources

Prey predator hyperheuristic

Applied Soft Computing Journal, 2017
Abstract Prey predator algorithm is a population based metaheuristic algorithm inspired by the interaction between a predator and its prey. In the algorithm, a solution with a better performance is called best prey and focuses totally on exploitation whereas the solution with least performance is called predator and focuses totally on exploration ...
Surafel Luleseged Tilahun
exaly   +2 more sources

Swarm hyperheuristic framework

Journal of Heuristics, 2018
Swarm intelligence is one of the central focus areas in the study of metaheuristic algorithms. The effectiveness of these algorithms towards solving difficult problems has attracted researchers and practitioners. As a result, numerous type of this algorithm have been proposed. However, there is a heavy critics that some of these algorithms lack novelty.
Surafel Luleseged Tilahun, Mohamed A. Tawhid   +1 more
openaire   +1 more source