[PDF][PDF] Artificial intelligence for improving the optimization of NP-hard problems: a review

S Tkatek, O Bahti, Y Lmzouari… - International Journal of …, 2020 - researchgate.net
Artificial intelligence (AI) techniques play an important role in the development and
optimization of complex problems in various fields. This study presents a systematic analysis …

A multi-objective worker selection scheme in crowdsourced platforms using NSGA-II

A Yadav, S Mishra, AS Sairam - Expert Systems with Applications, 2022 - Elsevier
Crowdsourcing has led to a paradigm shift in how commercial houses execute projects by
lowering the production cost. A crucial aspect of crowdsourcing is selecting the best set of …

Metaheuristics to solve grouping problems: A review and a case study

O Ramos-Figueroa, M Quiroz-Castellanos… - Swarm and Evolutionary …, 2020 - Elsevier
Grouping problems are a special type of combinatorial optimization problems that have
gained great relevance because of their numerous real-world applications. The solution …

Enhanced long short-term memory model for runoff prediction

R Feng, G Fan, J Lin, B Yao, Q Guo - Journal of Hydrologic …, 2021 - ascelibrary.org
Runoff prediction plays a crucial role in the scheduling and management of water resources.
A novel enhanced long short-term memory (LSTM) model called LN-LSTM-PSO is proposed …

Application of a modified CES production function model based on improved PSO algorithm

M Cheng, Y Han - Applied Mathematics and Computation, 2020 - Elsevier
In the analysis of the economic growth factors, people often use the CES (constant elasticity
of substitution) production function model to calculate the contribution rate of influencing …

Stochastic flexible flow shop scheduling problem with limited buffers and fixed interval preventive maintenance: a hybrid approach of simulation and metaheuristic …

R Rooeinfar, S Raissi, VR Ghezavati - Simulation, 2019 - journals.sagepub.com
This study focused on the uncertain flexible flow shop scheduling problem with limited
buffers when preventive maintenance is applied at fixed intervals. This issue has not been …

A novel state space reduction algorithm for team formation in social networks

MZ Rehman, KZ Zamli, M Almutairi, H Chiroma… - Plos one, 2021 - journals.plos.org
Team formation (TF) in social networks exploits graphs (ie, vertices= experts and edges=
skills) to represent a possible collaboration between the experts. These networks lead us …

In search of diverse and connected teams: A computational approach to assemble diverse teams based on members' social networks

D Gómez-Zará, A Das, B Pawlow, N Contractor - PloS one, 2022 - journals.plos.org
Previous research shows that teams with diverse backgrounds and skills can outperform
homogeneous teams. However, people often prefer to work with others who are similar and …

Similarity-driven and task-driven models for diversity of opinion in crowdsourcing markets

CJ Zhang, Y Liu, P Zeng, T Wu, L Chen, P Hui, F Hao - The VLDB Journal, 2024 - Springer
The recent boom in crowdsourcing has opened up a new avenue for utilizing human
intelligence in the realm of data analysis. This innovative approach provides a powerful …

Application of an extended VES production function model based on improved PSO algorithm

M Cheng, B Liu - Soft Computing, 2021 - Springer
The production function has always been an active field in the research and application of
economics. Researchers generally use the production function of constant elasticity of …