Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature
Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …
proposed and implemented, most of which are able to find good quality clustering results …
Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research
The presence of various forms of heavy metals (HMs)(eg, Cu, Cd, Pb, Zn, Cr, Ni, As, Co, Hg,
Fe, Mn, Sb, and Ce) in water bodies and sediment has been increasing due to industrial and …
Fe, Mn, Sb, and Ce) in water bodies and sediment has been increasing due to industrial and …
Dynamic levy flight chimp optimization
W Kaidi, M Khishe, M Mohammadi - Knowledge-Based Systems, 2022 - Elsevier
Abstract Background: The Chimp Optimization Algorithm (ChOA) is a hunting-based model
and can be utilized as a set of optimization rules to tackle optimization problems. Due to …
and can be utilized as a set of optimization rules to tackle optimization problems. Due to …
Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems
The need for better-performing algorithms to solve real-world power systems engineering
problems has always been a challenging topic. Due to their stochastic nature, metaheuristic …
problems has always been a challenging topic. Due to their stochastic nature, metaheuristic …
mLBOA: A modified butterfly optimization algorithm with lagrange interpolation for global optimization
S Sharma, S Chakraborty, AK Saha, S Nama… - Journal of Bionic …, 2022 - Springer
Abstract Though the Butterfly Bptimization Algorithm (BOA) has already proved its
effectiveness as a robust optimization algorithm, it has certain disadvantages. So, a new …
effectiveness as a robust optimization algorithm, it has certain disadvantages. So, a new …
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination
Anthropogenic activities affect the water bodies and result in a drastic reduction of river
water quality (WQ). The development of a reliable intelligent model for evaluating the …
water quality (WQ). The development of a reliable intelligent model for evaluating the …
Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia
Lead (Pb) is a primary toxic heavy metal (HM) which present throughout the entire
ecosystem. Some commonly observed challenges in HM (Pb) prediction using artificial …
ecosystem. Some commonly observed challenges in HM (Pb) prediction using artificial …
K-means-based nature-inspired metaheuristic algorithms for automatic data clustering problems: Recent advances and future directions
AM Ikotun, MS Almutari, AE Ezugwu - Applied Sciences, 2021 - mdpi.com
K-means clustering algorithm is a partitional clustering algorithm that has been used widely
in many applications for traditional clustering due to its simplicity and low computational …
in many applications for traditional clustering due to its simplicity and low computational …
Initialisation approaches for population-based metaheuristic algorithms: a comprehensive review
JO Agushaka, AE Ezugwu - Applied Sciences, 2022 - mdpi.com
A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …
favourable or desirable solution) by chance can increase the probability of finding the true …
Evolving Marine Predators Algorithm by dynamic foraging strategy for real-world engineering optimization problems
B Shen, M Khishe, S Mirjalili - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract The Marine Predators Algorithm (MPA) is a novel hunting-based optimizer. The
MPA's central concept is based on the well-known Lévy Flight (LF) and Brownian Motion …
MPA's central concept is based on the well-known Lévy Flight (LF) and Brownian Motion …