Results 31 to 40 of about 3,693 (219)
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
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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
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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
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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
core +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
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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
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 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
core +2 more sources
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
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
doaj +1 more source