Results 221 to 230 of about 1,200,755 (251)

A Hyper-Heuristic Inspired by Pearl Hunting

2012
Pearl 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, Fan Xue, W. H. Ip, Benny C. F. Cheung   +3 more
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Evolutionary Cross-Domain Hyper-Heuristics

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015
Designing 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, Julian F. Miller, Shahriar Asta   +2 more
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Generative Hyper-heuristics

Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2022
Daniel R. Tauritz, John R. Woodward
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A Hyper-Heuristic Scheduling Algorithm for Cloud

IEEE Transactions on Cloud Computing, 2014
Rule-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, Wei-Cheng Huang, Meng-Hsiu Chiang, Ming-Chao Chiang, Chu-Sing Yang   +4 more
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Introduction to Hyper-Heuristics

2018
Research 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
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Advances in Hyper-Heuristics

2018
The previous chapters have introduced the four types of hyper-heuristics, presented the theoretical foundations and examined various applications of hyper-heuristics. This chapter provides an overview of some advanced topics and recent trends in hyper-heuristics, namely, hybrid hyper-heuristics, hyper-heuristics for automated design, automated design ...
Nelishia Pillay, Rong Qu
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Comparing hyper-heuristics with blackboard systems

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
This paper aims to draw a comparison between the traditional view of hyper-heuristics and a lesser known type of multi-agent system known as a blackboard system. Both approaches share many similarities in both implementation and philosophy but also have several important differences in terms of characteristics and approach, such as a difference in ...
Kevin Carrie Graham, Leslie Smith
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Selection hyper-heuristics

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022
Ahmed Kheiri, Edward C. Keedwell
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A Multi-armed Bandit Hyper-Heuristic

2015 Brazilian Conference on Intelligent Systems (BRACIS), 2015
Hyper-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, Richard Aderbal Gonçalves, Aurora Trinidad Ramirez Pozo   +2 more
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Evolutionary multilabel hyper-heuristic design

2017 IEEE Congress on Evolutionary Computation (CEC), 2017
Nowadays, heuristics represent a commonly used alternative to solve complex optimization problems. This, however, has given rise to the problem of choosing the most effective heuristic for a given problem. In recent years, one of the most used strategies for this task has been the hyper-heuristics, which aim at selecting/generating heuristics to solve ...
Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Carlos A. Coello Coello   +4 more
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