Results 31 to 40 of about 17,999 (266)
Hybrid meta-heuristics for combinatorial optimization [PDF]
Constraints, 2015 Combinatorial optimization problems arise, in many forms, in various aspects of everyday life. Nowadays, a lot of services are driven by optimization algorithms, enabling us to make the best use of the available resources while guaranteeing a level of service. Examples of such services are public transportation, goods delivery, university time-tabling,
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Significance relations for the benchmarking of meta-heuristic algorithms [PDF]
2013 13th International Conference on Intellient Systems Design and Applications, 2013 The experimental analysis of meta-heuristic algorithm performance is usually based on comparing average performance metric values over a set of algorithm instances. When algorithms getting tight in performance gains, the additional consideration of significance of a metric improvement comes into play.
Mario Köppen, Kei Ohnishi
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Nonparametric Comparison of Two Dynamic Parameter Setting Methods in a Meta-Heuristic Approach [PDF]
Journal of Systemics, Cybernetics and Informatics, 2007 Meta-heuristics are commonly used to solve combinatorial problems in practice. Many approaches provide very good quality solutions in a short amount of computational time; however most meta-heuristics use parameters to tune the performance of the meta ...
Seyhun HEPDOGAN +3 more
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IET Software, 2021 In this research, a new method for population initialisation in meta‐heuristic algorithms based on the Pareto 80/20 rule is presented. The population in a meta‐heuristic algorithm has two important tasks, including pushing the algorithm toward the real ...
Mohammad Reza Hasanzadeh, Farshid Keynia
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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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An Ant Colony based Hyper-Heuristic Approach for the Set Covering Problem
Advances in Distributed Computing and Artificial Intelligence Journal, 2015 The Set Covering Problem (SCP) is a NP-hard combinatorial optimization problem that is challenging for meta-heuristic algorithms. In the optimization literature, several approaches using meta-heuristics have been developed to tackle the SCP and the ...
Alexandre Silvestre FERREIRA +2 more
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A Search-Based Test Data Generation Method for Concurrent Programs
International Journal of Computational Intelligence Systems, 2020 Concurrent programs are being widely adopted in development of multi-core and many-core processors. However, these types of programs present some features such as concurrency, communication and synchronization which make their testing more challenging ...
Seyed Mohsen Mirhosseini +1 more
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Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data
Computers, 2022 Feature Selection in High Dimensional Space is a combinatory optimization problem with an NP-hard nature. Meta-heuristic searching with embedding information theory-based criteria in the fitness function for selecting the relevant features is used widely
Tara Othman Qadir Saraf +2 more
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Unraveling the Electronic Structure of Silicon Vacancy Centers in 4H‐SiC
Advanced Functional Materials, EarlyView.The electronic structure of the silicon vacancy in 4H‐SiC is probed via transient absorption spectroscopy, uncovering previously inaccessible excited states of the quartet and doublet spin channels, including the V2' transition. In combination with theoretical analysis, a comprehensive picture of the electronic structure is established.
Ali Tayefeh Younesi +9 more
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Engineering ProceedingsThe Vehicle Routing Problem (VRP) is related to determining the route of several vehicles to distribute goods to customers efficiently and minimize transportation costs or optimize other objective functions.
Wayan Firdaus Mahmudy +2 more
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