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Hyper-heuristics: a survey of the state of the art [PDF]
Journal of the Operational Research Society, 2013 Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal of automating the design of heuristic methods to solve hard computational search problems. An underlying strategic research challenge is to develop more generally applicable search methodologies.
Edmund K. Burke +6 more
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A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems
Complex System Modeling and Simulation, 2021 A hyper-heuristic algorithm is a general solution framework that adaptively selects the optimizer to address complex problems. A classical hyper-heuristic framework consists of two levels, including the high-level heuristic and a set of low-level ...
Fuqing Zhao +4 more
doaj +1 more source
Optimizing agents with genetic programming : an evaluation of hyper-heuristics in dynamic real-time logistics [PDF]
, 2017 Dynamic pickup and delivery problems (PDPs) require online algorithms for managing a fleet of vehicles. Generally, vehicles can be managed either centrally or decentrally. A common way to coordinate agents decentrally is to use the contract-net protocol (
Branke, Jürgen +2 more
core +1 more source
Khazanah Informatika, 2019 State-of-the-art dari metode yang digunakan untuk menyelesaikan permasalahan optimasi kombinatorik, yang diketahui sebagai permasalahan NP-hard, adalah meta-heuristics.
Arif Djunaidy +2 more
doaj +1 more source
Genetic programming hyper-heuristic with vehicle collaboration for uncertain capacitated arc routing problem [PDF]
, 2019 Due to its direct relevance to post-disaster operations, meter reading and civil refuse collection, the Uncertain Capacitated Arc Routing Problem (UCARP) is an important optimisation problem.
Branke, Jürgen +3 more
core +2 more sources
HyperDE: An Adaptive Hyper-Heuristic for Global Optimization
Algorithms, 2023 In this paper, a novel global optimization approach in the form of an adaptive hyper-heuristic, namely HyperDE, is proposed. As the naming suggests, the method is based on the Differential Evolution (DE) heuristic, which is a well-established ...
Alexandru-Razvan Manescu +1 more
doaj +1 more source
Batched Mode Hyper-heuristics [PDF]
, 2013 A primary role for hyper-heuristics is to control search processes based on moves generated by neighbourhood operators. Studies have shown that such hyper-heuristics can be effectively used, without modification, for solving unseen problem instances not only from a particular domain, but also on different problem domains.
Shahriar Asta +2 more
openaire +1 more source
A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics
Complexity, 2020 Selection hyper-heuristics are generic search tools that dynamically choose, from a given pool, the most promising operator (low-level heuristic) to apply at each iteration of the search process. The performance of these methods depends on the quality of
Jorge A. Soria-Alcaraz +5 more
doaj +1 more source
Global Optimisation through Hyper-Heuristics: Unfolding Population-Based Metaheuristics
Applied Sciences, 2021 Optimisation has been with us since before the first humans opened their eyes to natural phenomena that inspire technological progress. Nowadays, it is quite hard to find a solver from the overpopulation of metaheuristics that properly deals with a given
Jorge M. Cruz-Duarte +3 more
doaj +1 more source
Solving high school timetabling problems worldwide using selection hyper-heuristics [PDF]
, 2015 High school timetabling is one of those recurring NP-hard real-world combinatorial optimisation problems that has to be dealt with by many educational institutions periodically, and so has been of interest to practitioners and researchers. Solving a high
Ahmed Kheiri +30 more
core +4 more sources