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UHD Journal of Science and TechnologyThe current paper seeks to present a hybrid harmony search algorithm, using CS and HS. The proposed algorithm takes advantage of using a method to initialize the harmony memory (HM) with the help of the cuckoo search optimization algorithm.
Fariaa Abdalmajeed Hameed +3 more
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Nuclear Engineering and Technology, 2021 One of the important parts of the in-core fuel management is loading pattern optimization (LPO). The loading pattern optimization as a reasonable design of the in-core fuel management can improve both economic and safe aspects of the nuclear reactor ...
Sayyed Mostafa Mahmoudi +2 more
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A Hybrid Harmony Search Algorithm for Solving Dynamic Optimisation Problems [PDF]
, 2014 Many optimisation problems are dynamic in the sense that changes occur during the optimisation process, and therefore are more challenging than the stationary problems.
Turky, Ayad +4 more
core +2 more sources
An Improved Harmony Search Algorithm with Segmented Search
IOP Conference Series: Materials Science and Engineering, 2020 Abstract Harmony search (HS) algorithm has received widely attention in various fields because of simple operation and outstanding performance. However, there exists some bottlenecks which hinders the further development of HS algorithm, such as easy trapping into local optimum and slow convergence velocity.This paper proposes an ...
Di-Wen Kang, Li-Ping Mo, Kai-Qing Zhou
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A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling [PDF]
, 2010 Copyright @ Springer Science + Business Media. All rights reserved.The post enrolment course timetabling problem (PECTP) is one type of university course timetabling problems, in which a set of events has to be scheduled in time slots and located in ...
Yang, S +4 more
core +1 more source
An enhanced adaptive global‐best harmony search algorithm for continuous optimization problems
Engineering Reports, 2020 This paper presents an enhanced adaptive global‐best harmony search (EAGHS) to solve global continuous optimization problems. The global‐best HS (GHS) is one of the strongest versions of the classical HS algorithm that hybridizes the concepts of swarm ...
Hasan Yarmohamadi +3 more
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, 2023 Data clustering is one of the necessary research fields in data analysis. Clustering is an unsupervised classification method for assigning data objects to separate groups, which are called clusters. So that the similarity of the data within each cluster
Gharehchopogh, Farhad Soleimanian +3 more
core +1 more source
International Journal of Distributed Sensor Networks, 2017 Clustering and routing are two key techniques to improve the energy efficiency of wireless sensor networks. As clustering and routing for improving the energy efficiency of wireless sensor networks are NP-hard problems, increasing meta-heuristic ...
Bing Zeng, Yan Dong, Xinyu Li, Liang Gao
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Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
A Cooperative Harmony Search Algorithm for Function Optimization [PDF]
Mathematical Problems in Engineering, 2014 Harmony search algorithm (HS) is a new metaheuristic algorithm which is inspired by a process involving musical improvisation. HS is a stochastic optimization technique that is similar to genetic algorithms (GAs) and particle swarm optimizers (PSOs). It has been widely applied in order to solve many complex optimization problems, including continuous ...
Gang Li, Qingzhong Wang
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