Results 31 to 40 of about 1,200,755 (251)
A Feature-Independent Hyper-Heuristic Approach for Solving the Knapsack Problem
Applied Sciences, 2021 Recent years have witnessed a growing interest in automatic learning mechanisms and applications. The concept of hyper-heuristics, algorithms that either select among existing algorithms or generate new ones, holds high relevance in this matter.
Xavier Sánchez-Díaz +5 more
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Selection hyper-heuristics in dynamic environments [PDF]
Journal of the Operational Research Society, 2013 Current state-of-the-art methodologies are mostly developed for stationary optimization problems. However, many real-world problems are dynamic in nature, where different types of changes may occur over time. Population-based approaches, such as evolutionary algorithms, are frequently used for solving dynamic environment problems.
Berna Kiraz +2 more
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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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Algorithms, 2021 This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent’s fitness rank.
Robertas Damaševičius +1 more
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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
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A hyper-heuristic methodology to generate adaptive strategies for games [PDF]
, 2017 Hyper-heuristics have been successfully applied in solving a variety of computational search problems. In this study, we investigate a hyper-heuristic methodology to generate adaptive strategies for games.
Kendall, Graham, Kendall, G., Li, Jiawei
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Applied Computer Systems, 2022 A problem of minimizing the total weighted tardiness in the preemptive single machine scheduling for discrete manufacturing is considered. A hyper-heuristic is presented, which is composed of 24 various heuristics, to find an approximately optimal ...
Romanuke Vadim
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A Late Acceptance Hyper-Heuristic Approach for the Optimization Problem of Distributing Pilgrims over Mina Tents [PDF]
Journal of Universal Computer Science, 2022 About three million Muslims are traveling annually to Makkah in Saudi Arabia to perform the rituals of Hajj (i.e. the pilgrimage), the fifth pillar of Islam.
Mohd Khaled Y. Shambour, Esam A. Khan
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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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MatHH: A Matlab-based Hyper-Heuristic framework
SoftwareX, 2022 Hyper-Heuristics (HHs) have proven to be a valuable tool for solving complex problems, such as Combinatorial Optimization Problems (COPs). These solvers have an assorted set of models arising through extensive research from the scientific community ...
Jorge M. Cruz-Duarte +2 more
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