Results 111 to 120 of about 715 (165)

A comparative analysis of crossovers in genetic algorithms for route optimization: case studies from Astana and Shymkent, Kazakhstan. [PDF]

Sci Rep
Kazbek R, Sergaziyev M, Kenzhe D, Raissov A, Yedilkhan D.   +4 more
europepmc   +1 more source

A multi-objective fuzzy programming model for port tugboat scheduling based on the Stackelberg game. [PDF]

Sci Rep
Ren Y, Chen Q, Lau YY, Dulebenets MA, Li B, Li M.   +5 more
europepmc   +1 more source

Development and application of hyperheuristics to personnel scheduling [PDF]

This thesis is concerned with the investigation of hyperheuristic techniques. Hyperheuristics are heuristics which choose heuristics in order to solve a given optimisation problem. In this thesis we investigate and develop a number of hyperheuristic techniques including a hyperheuristic which uses a choice function in order to select which low-level ...
openaire  

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  

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  

Towards Signalling Maintenance Scheduling for European Railway Traffic Management System [PDF]

, 2017
M. Pour, Shahrzad, Rasmussen, Kourosh Marjani   +1 more
core  

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Hill Climbers and Mutational Heuristics in Hyperheuristics

Lecture Notes in Computer Science, 2006
Hyperheuristics are single candidate solution based and simple to maintain mechanisms used in optimization. At each iteration, as a higher level of abstraction, a hyperheuristic chooses and applies one of the heuristics to a candidate solution. In this study, the performance contribution of hill climbing operators along with the mutational heuristics ...
Ender Ozcan, Emin Erkan Korkmaz
exaly   +2 more sources

Hyperheuristics Based on Parametrized Metaheuristic Schemes

Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015
The use of a unified parametrized scheme for metaheuristics facilitates the development of metaheuristics and their application. The unified scheme can also be used to implement hyperheuristics on top of parametrized metaheuristics, selecting appropriate values for the metaheuristic parameters, and consequently the metaheuristic itself.
José-Matías Cutillas-Lozano, Domingo Giménez, Francisco Almeida   +2 more
exaly   +2 more sources

Using Hyperheuristics under a GP Framework for Financial Forecasting

Lecture Notes in Computer Science, 2011
Hyperheuristics have successfully been used in the past for a number of search and optimization problems. To the best of our knowledge, they have not been used for financial forecasting. In this paper we use a simple hyperheuristics framework to investigate whether we can improve the performance of a financial forecasting tool called EDDIE 8.
Michael Kampouridis
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