Results 31 to 40 of about 3,090 (171)
Improved COA with Chaotic Initialization and Intelligent Migration for Data Clustering [PDF]
Journal of Artificial Intelligence and Data Mining, 2017 A well-known clustering algorithm is K-means. This algorithm, besides advantages such as high speed and ease of employment, suffers from the problem of local optima. In order to overcome this problem, a lot of studies have been done in clustering.
M. Lashkari, M. Moattar
doaj +1 more source
A Novel Hybrid Cuckoo Search Algorithm with Global Harmony Search for 0–1 Knapsack Problems
International Journal of Computational Intelligence Systems, 2016 Cuckoo search (CS) is a novel biologically inspired algorithm and has been widely applied to many fields. Although some binary-coded CS variants are developed to solve 0–1 knapsack problems, the search accuracy and the convergence speed are still needed ...
Yanhong Feng, Gai-Ge Wang, Xiao-Zhi Gao
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An Adaptive Cuckoo Search-Based Optimization Model for Addressing Cyber-Physical Security Problems
Mathematics, 2021 One of the key challenges in cyber-physical systems (CPS) is the dynamic fitting of data sources under multivariate or mixture distribution models to determine abnormalities.
Mohamed Abdel-Basset +4 more
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Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm
Cybernetics and Information Technologies, 2022 This paper presents the design of a desired linear phase digital Finite Impulse Response (FIR) High Pass (HP) filter based on Adaptive Systematic Cuckoo Search Algorithm (ACSA).
Bansal Puneet, Gill Sandeep Singh
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A Chance‐Constrained Model for a Production Routing Problem With Uncertain Availability of Vehicles
Networks, EarlyView.ABSTRACT The Production Routing Problem (PRP) is a complex integrated problem that allows for the achievement of competitive advantages, such as better management of inventory, reduction in operational costs and lead times, improvement in efficiency and customer service, and better response to market changes.
Alline Zanette +2 more
wiley +1 more source
Digital surveillance of animals and nature recovery
People and Nature, EarlyView.Abstract Digital surveillance technologies (DSTs) are widely applied in nature recovery for their potential to generate novel data on species and ecosystems through digital tracking, automation (e.g. from hazardous locations) and from newly recruited citizen scientists.
William M. Adams
wiley +1 more source
Energies, 2018 This paper proposes an effective novel cuckoo search algorithm (ENCSA) in order to enhance the operation capacity of hydrothermal power systems, considering the constraints in the transmission network, and especially to overcome optimal power flow (OPF ...
Thang Trung Nguyen +4 more
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Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
IEEE Access, 2020 Microarray data play a huge role in recognizing a proper cancer diagnosis and classification. In most microarray data set consist of thousands of genes, but the majority number of genes are irrelevant to the diseases.
Mohd Shahizan Othman +2 more
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Practical Day‐Ahead Gas Generator Dispatch Optimisation for Enhancing the Reserved Capacity
IET Smart Energy Systems, EarlyView.Practical day‐ahead gas generator dispatch optimisation model is proposed to enhance the system reserved capacity. ABSTRACT In order to reduce carbon dioxide emissions, traditional coal‐fired power generation has been strictly limited in China recently, which has led to the problem of reserved capacity shortage. As one of the critical east provinces of
Shengyuan Liu +6 more
wiley +1 more source