Results 211 to 220 of about 3,855 (254)
Some of the next articles are maybe not open access.
A comprehensive analysis of hyper-heuristics
Intelligent Data Analysis, 2008Meta-heuristics such as simulated annealing, genetic algorithms and tabu search have been successfully applied to many difficult optimization problems for which no satisfactory problem specific solution exists. However, expertise is required to adopt a meta-heuristic for solving a problem in a certain domain. Hyper-heuristics introduce a novel approach
Ender Özcan +2 more
openaire +2 more sources
A hyper-heuristic clustering algorithm
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012The so-called heuristics have been widely used in solving combinatorial optimization problems because they provide a simple but effective way to find an approximate solution. These technologies are very useful for users who do not need the exact solution but who care very much about the response time. For every existing heuristic algorithm has its pros
Chun-Wei Tsai +2 more
openaire +1 more source
2018
This chapter presents a literature review of the main advances in the field of hyper-heuristics, since the publication of a survey paper in 2013. The chapter demonstrates the most recent advances in hyper-heuristic foundations, methodologies, theory, and application areas.
Epitropakis, M.G., Burke, E.K.
openaire +1 more source
This chapter presents a literature review of the main advances in the field of hyper-heuristics, since the publication of a survey paper in 2013. The chapter demonstrates the most recent advances in hyper-heuristic foundations, methodologies, theory, and application areas.
Epitropakis, M.G., Burke, E.K.
openaire +1 more source
New Insights Into Diversification of Hyper-Heuristics
IEEE Transactions on Cybernetics, 2014There has been a growing research trend of applying hyper-heuristics for problem solving, due to their ability of balancing the intensification and the diversification with low level heuristics. Traditionally, the diversification mechanism is mostly realized by perturbing the incumbent solutions to escape from local optima. In this paper, we report our
Zhilei Ren +4 more
openaire +2 more sources
An investigation of hyper-heuristic search spaces
2007 IEEE Congress on Evolutionary Computation, 2007Hyper-heuristics or "heuristics that coordinate heuristics" are fast becoming popular for solving combinatorial optimisation problems. These methods do not search directly the solution space; they do it indirectly through the exploration of the space of heuristics and/or their combinations. This space is named the associated space.
José Antonio Vázquez Rodríguez +2 more
openaire +1 more source
A Hyper-Heuristic Inspired by Pearl Hunting
2012Pearl hunting is a traditional way of diving to retrieve pearl from pearl oysters or to hunt some other sea creatures. In some areas, hunters need to dive and search seafloor repeatedly at several meters depth for pearl oysters. In a search perspective, pearl hunting consists of repeated diversification (to surface and change target area) and ...
Ching-Yuen Chan +3 more
openaire +3 more sources
Introduction to Hyper-Heuristics
2018Research into solving combinatorial optimization problems such as timetabling, vehicle routing and rostering problems has involved deriving techniques that improve the results obtained by existing techniques for known benchmark sets. These benchmark sets are made publicly available for performance comparisons of different techniques in solving these ...
Nelishia Pillay, Rong Qu
openaire +1 more source
Evolutionary Cross-Domain Hyper-Heuristics
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015Designing effective algorithms to solve computational problems is difficult and time-consuming. The standard methodology for designing such algorithms is “top-down”. This process breaks down large problems into more understood components and eventually identifies problem-specific operators that algorithms need to use to solve the given problem.
Patricia Ryser-Welch +2 more
openaire +1 more source
A Hyper-Heuristic Scheduling Algorithm for Cloud
IEEE Transactions on Cloud Computing, 2014Rule-based scheduling algorithms have been widely used on many cloud computing systems because they are simple and easy to implement. However, there is plenty of room to improve the performance of these algorithms, especially by using heuristic scheduling.
Chun-Wei Tsai +4 more
openaire +1 more source
A Multi-armed Bandit Hyper-Heuristic
2015 Brazilian Conference on Intelligent Systems (BRACIS), 2015Hyper-heuristics are search methods that aim to solve optimization problems by selecting or generating heuristics. Selection hyper-heuristics choose from a pool of heuristics a good one to be applied at the current stage of the optimization process. The selection mechanism is the main part of a selection hyper-heuristic and have a great impact on its ...
Alexandre Silvestre Ferreira +2 more
openaire +1 more source