IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Chemical and biological reactions of solidification of peat using ordinary portland cement (OPC) and coal ashes [PDF]
, 2021 Construction over peat area have often posed a challenge to geotechnical engineers. After decades of study on peat stabilisation techniques, there are still no absolute formulation or guideline that have been established to handle this issue.
Abdul Rahman, Junita
core +1 more source
Self-adaptive differential artificial bee colony algorithm for global optimization problems [PDF]
Swarm and Evolutionary Computation, 2019 Chen, Xu +2 more
core +3 more sources
An enhanced artificial bee colony algorithm based on fitness weighted search strategy
Automatika, 2021 Artificial Bee Colony (ABC) algorithm is a meta-heuristic algorithm, is inspired by the bee’s food search behaviour based on swarm intelligence.
Yuksel Celik
doaj +1 more source
A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm
International Journal of Computational Intelligence Systems, 2020 Many hard optimization problems have been efficiently solved by two notable swarm intelligence algorithms, artificial bee colony (ABC) and firefly algorithm (FA).
Ivona Brajević +3 more
doaj +1 more source
A novel strategy for pairwise test suite generation
上海师范大学学报. 自然科学版, 2020 A new pairwise hybrid artificial bee colony(PHABC)strategy based on artificial bee colony(ABC)algorithm and particle swarm optimization(PSO) algorithm was proposed in this paper.
DING Huaibao
doaj +1 more source
A new standard error based artificial bee colony algorithm and its applications in feature selection
Journal of King Saud University: Computer and Information Sciences, 2022 Feature selection is a basic task for pattern recognition and classification. It enhances the performance of the classification algorithms with the help of removing the redundant features. Thanks to eliminating irrelevant features, the computational time
Kazım Hanbay
doaj +1 more source
Multivariate time series analysis for short-term forecasting of ground level ozone (O3) in Malaysia [PDF]
, 2021 The declining of air quality mostly affects the elderly, children, people with asthma, as well as a restriction on outdoor activities. Therefore, there is an importance to provide a statistical modelling to forecast the future values of surface layer
Raffee, Ahmad Fauzi
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A Multi-Service Composition Model for Tasks in Cloud Manufacturing Based on VS–ABC Algorithm
Mathematics, 2022 This study analyzes the impact of Industry 4.0 and SARS-CoV-2 on the manufacturing industry, in which manufacturing entities are faced with insufficient resources and uncertain services; however, the current study does not fit this situation well.
Di Liang +4 more
doaj +1 more source
Robust fuzzy PSS design using ABC [PDF]
, 2011 This paper presents an Artificial Bee Colony (ABC) algorithm to tune optimal rule-base of a Fuzzy Power System Stabilizer (FPSS) which leads to damp low frequency oscillation following disturbances in power systems. Thus, extraction of an appropriate set
Abedinia, Oveis +2 more
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