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A learning automata based multiobjective hyper-heuristic [PDF]
, 2017 Metaheuristics, being tailored to each particular domain by experts, have been successfully applied to many computationally hard optimisation problems. However, once implemented, their application to a new problem domain or a slight change in the problem
John, Robert, Li, Wenwen, Özcan, Ender
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Hyper-heuristic decision tree induction [PDF]
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009 Hyper-heuristics are increasingly used in function and combinatorial optimization. Rather than attempt to solve a problem using a fixed heuristic, a hyper-heuristic approach attempts to find a combination of heuristics that solve a problem (and in turn may be directly suitable for a class of problem instances).
Alan Vella, David W. Corne, Chris Murphy
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Problem Solving in Crowd Management Using Heuristic Approach
IEEE Access, 2022 There are many problems that procedural algorithms can solve efficiently. However, these algorithms are sometimes too slow to abide by the time available for performing the solution; other times, it is impossible to get a solution using procedural ...
Ali M. Al-Shaery +4 more
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A greedy hyper-heuristic in dynamic environments [PDF]
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, 2009 If an optimisation algorithm performs a search in an environment that changes over time, it should be able to follow these changes and adapt itself for handling them in order to achieve good results. Different types of dynamics in a changing environment require the use of different approaches.
Ender Özcan +2 more
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A modified choice function hyper-heuristic controlling unary and binary operators [PDF]
, 2015 Hyper-heuristics are a class of high-level search methodologies which operate on a search space of low-level heuristics or components, rather than on solutions directly.
Burke, Edmund K. +2 more
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Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Sebuah organisasi terkadang membutuhkan solusi untuk permasalahan optimasi lintas domain. Permasalahan optimasi lintas domain merupakan permasalahan yang memiliki karakteristik berbeda, misalnya antar domain optimasi penjadwalan, rute kendaraan, bin ...
Anang Firdaus +2 more
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A Classification of Hyper-heuristic Approaches [PDF]
, 2009 The current state of the art in hyper-heuristic research comprises a set of approaches that share the common goal of automating the design and adaptation of heuristic methods to solve hard computational search problems.
A.S. Fukunaga +29 more
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Towards Many-objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators [PDF]
, 2016 PPSN 2016: 14th International Conference on Parallel Problem Solving from Nature, 17-21 September 2016, Edinburgh, ScotlandThis is the author accepted manuscript.
EK Burke +6 more
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A cooperative hyper-heuristic search framework [PDF]
Journal of Heuristics, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Djamila Ouelhadj, Sanja Petrovic
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How Much Is Too Much? Facing Practical Limitations in Hyper-Heuristic Design for Packing Problems
AlgorithmsHyper-heuristics, or simply heuristics to choose heuristics, represent a powerful approach to tackling complex optimization problems. These methods decide which heuristic to apply throughout the solving process, aiming to improve the solving process ...
José Carlos Ortiz-Bayliss +2 more
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