Results 31 to 40 of about 2,657,191 (149)
Nature-inspired optimization algorithms in knapsack problem: A review [PDF]
المجلة العراقية للعلوم الاحصائية, 2019 Meta-heuristic algorithms have become an arising field of research in recent years. Some of these algorithms have proved to be efficient in solving combinatorial optimization problems, particularly knapsack problem.
Ghalya Tawfeeq Basheer, Zakariya Algamal
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Novel Heuristic Algorithm & its Application for Reliability Optimization
International Journal of Mathematical, Engineering and Management Sciences, 2023 Heuristic algorithms are practical, easy to implement, and work fast to provide short-term, feasible solutions for any kind of problem within economical budgets as compared to other meta-heuristic algorithms.
Tripti Dahiya +4 more
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Solving a big-scaled hospital facility layout problem with meta-heuristics algorithms
Engineering Science and Technology, an International Journal, 2020 The main objective of the hospital facility layout problem is to place the polyclinics, laboratories and radiology units within the predefined boundaries in such way that minimize the movement cost of patients and healthcare staff.
Vahit Tongur +2 more
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Aerospace, 2021 This paper presents the application of an active energy management strategy to a hybrid system consisting of a proton exchange membrane fuel cell (PEMFC), battery, and supercapacitor.
Hasan Çınar, Ilyas Kandemir
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Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms [PDF]
, 2014 The fields of machine meta-learning and hyper-heuristic optimisation have developed mostly independently of each other, although evolutionary algorithms (particularly genetic programming) have recently played an important role in the development of both ...
Swan, Jerry +6 more
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Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences
Applied Sciences, 2021 To solve different kinds of optimization challenges, meta-heuristic algorithms have been extensively used. Population initialization plays a prominent role in meta-heuristic algorithms for the problem of optimization.
Adnan Ashraf +6 more
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Search algorithms for regression test case prioritization [PDF]
, 2007 Regression testing is an expensive, but important, process. Unfortunately, there may be insufficient resources to allow for the re-execution of all test cases during regression testing.
Li, Zheng +5 more
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Flood susceptibility mapping using meta-heuristic algorithms
Geomatics, Natural Hazards & Risk, 2022 Flood is a common global natural hazard, and detailed flood susceptibility maps for specific watersheds are important for flood management measures. We compute the flood susceptibility map for the Kaiser watershed in Iran using machine learning models ...
Alireza Arabameri +7 more
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, 2023 Metaheuristics have been successfully used for solving complex structural optimization problems. Many algorithms are proposed for truss structure size and shape optimization under some constraints.
Nanni, Antonio +11 more
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The Survey of Algorithms for k-center Problem [PDF]
Zhengzhou Daxue xuebao. Gongxue banThe k-center problem is fundamental in facility siting, and is also an NP-hard problem with practical applications in the fields of distribution, emergency services, etc. However, with the expansion of the problem scale, the original algorithms were no
WANG Xiaofeng +4 more
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