Results 191 to 200 of about 1,116,663 (238)
MEG-RRT*: A Hierarchical Hybrid Path Planning Framework for Warehouse AGVs Using Multi-Objective Evolutionary Guidance. [PDF]
Sensors (Basel)Wu Q, Tang Q, Ma L, Zhao D, Lei J.
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Secure and intelligent SDN-IoV framework with blockchain-based authentication and optimization-based QoS routing. [PDF]
Sci RepM HJC, Thanarajan T.
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, 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.
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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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A methodology for determining an effective subset of heuristics in selection hyper-heuristics [PDF]
European Journal of Operational Research, 2017 We address the important step of determining an effective subset of heuristics in selection hyper-heuristics. Little attention has been devoted to this in the literature, and the decision is left at the discretion of the investigator.
Jorge A Soria-Alcaraz +2 more
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Monte Carlo hyper-heuristics for examination timetabling
Annals of Operations Research, 2010 Automating the neighbourhood selection process in an iterative approach that uses multiple heuristics is not a trivial task. Hyper-heuristics are search methodologies that not only aim to provide a general framework for solving problem instances at ...
Edmund K Burke +2 more
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Effective learning hyper-heuristics for the course timetabling problem [PDF]
European Journal of Operational Research, 2014 Course timetabling is an important and recurring administrative activity in most educational institutions. This article combines a general modeling methodology with effective learning hyper-heuristics to solve this problem.
Jorge A Soria-Alcaraz +2 more
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Reinforcement learning hyper-heuristics for optimisation. [PDF]
, 2017 Hyper-heuristics are search algorithms which operate on a set of heuristics with the goal of solving a wide range of optimisation problems. It has been observed that different heuristics perform differently between different optimisation problems. A hyper-heuristic combines a set of predefined heuristics, and applies a machine learning technique to ...
Alanazi, Fawaz
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A hyper-heuristic of scalarizing functions
Proceedings of the Genetic and Evolutionary Computation Conference, 2017Scalarizing functions have been successfully used by Multi-Objective Evolutionary Algorithms (MOEAs) for the fitness assignment process. Their popularity has to do with their low computational cost, their capability to generate (weakly) Pareto optimal solutions, and their effectiveness in solving many-objective optimization problems.
Raquel Hernández Gómez +1 more
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