A Cuckoo Search Algorithm for Scheduling Multiskilled Workforce
Based on the situation of the construction and software industry, this paper presents a multi-skilled human resource scheduling model which considers the skill and the salary of the workforce at different levels. It introduces a novel cuckoo search (CS)-based approach to optimize the objective function which combines the minimization of the makespan ...
Hui Nie +4 more
openaire +1 more source
A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs
ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie +5 more
wiley +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Cuckoo search via Lévy flights for the capacitated vehicle routing problem
For this paper, we explored the implementation of the cuckoo search algorithm applied to the capacitated vehicle routing problem. The cuckoo search algorithm was implemented with Lévy flights with the 2-opt and double-bridge operations, and with 500 ...
Jon Henly Santillan +3 more
doaj +1 more source
A novel low-complexity two-tier group antenna selection algorithm
Aiming at the high complexity of the end-to-end massive MIMO systems in flat correlated Rayleigh fading channel environments, a low-complexity two-tier group antenna selection algorithm based on discrete cuckoo search was proposed.The algorithm firstly ...
Peichang ZHANG +5 more
doaj +2 more sources
Evaluation of Whale, Fruit Fly and Cuckoo Search Algorithms in Optimizing Multi-Objective Operation of Golestan Dam Reservoir Based on Multi-Criteria Decision-Making Method [PDF]
In this research, after introducing the Whale, Cuckoo search and fruit fly Multi-Objective Optimization Algorithms, their performance individually and compared to each other was evaluated to optimize the Golestan Dam reservoir operation policies with an ...
Alireza Donyaii +2 more
doaj
In order to solve the problem of low detection efficiency and low accuracy caused by feature redundancy in current network intrusion detection technology, an improved Grey Wolf Optimizer algorithm integrated with Cuckoo Search was applied to feature ...
Hui XU +4 more
doaj
A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEM
Today, the information is growing enormously and it is difficult and tedious task to retrieve the necessary information from that pool. The main area for retrieving relevant answers is called intelligent information retrieval.
K Karpagam, A Saradha
doaj
Biclustering of the Gene Expression Data by Coevolution Cuckoo Search [PDF]
Biclustering has a potential to discover the local expression patterns analyzing the gene expression data which provide clues about biological processes.
Lu Yin, Yongguo Liu
doaj
DeepNet model empowered cuckoo search algorithm for the effective identification of lung cancer nodules. [PDF]
M GJ, S B.
europepmc +1 more source

