A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems

S Verma, M Pant, V Snasel - IEEE access, 2021 - ieeexplore.ieee.org
This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

Applications of geothermal organic Rankine Cycle for electricity production

A Ahmadi, MEH Assad, DH Jamali, R Kumar… - Journal of Cleaner …, 2020 - Elsevier
This review deals with organic Rankine cycle powered by geothermal resource which is one
favorable substitute for conventional fossil energy. Organic Rankine cycle power plants are …

A novel gate resource allocation method using improved PSO-based QEA

W Deng, J Xu, H Zhao, Y Song - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the continuous and rapid growth of air traffic demand, gate resource becomes a major
bottleneck restricting airport development. Rational gate allocation is regarded as one of the …

Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem

W Deng, J Xu, Y Song, H Zhao - Applied Soft Computing, 2021 - Elsevier
The optimization performance of differential evolution (DE) algorithm significantly depends
on control parameters and mutation strategy. However, it is difficult to set suitable control …

An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem

W Deng, J Xu, H Zhao - IEEE access, 2019 - ieeexplore.ieee.org
In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-
population strategy, co-evolution mechanism, pheromone updating strategy, and …

WOASCALF: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problems

A Seyyedabbasi - Advances in Engineering Software, 2022 - Elsevier
In recent years, researchers have been focused on solving optimization problems in order to
determine the global optimum. Increasing the dimension of a problem increases its …

An enhanced bacterial foraging optimization and its application for training kernel extreme learning machine

H Chen, Q Zhang, J Luo, Y Xu, X Zhang - Applied Soft Computing, 2020 - Elsevier
Abstract The Bacterial Foraging Optimization (BFO) algorithm is a swarm intelligent
algorithm widely used in various optimization problems. However, BFO suffers from multiple …

An effective improved co-evolution ant colony optimisation algorithm with multi-strategies and its application

W Deng, J Xu, Y Song, H Zhao - International Journal of …, 2020 - inderscienceonline.com
In this paper, an effective improved co-evolution ant colony optimisation (MSICEAO)
algorithm is presented to solve complex optimisation problem. In the MSICEAO, the multi …

Clustering-based anomaly detection in multivariate time series data

J Li, H Izakian, W Pedrycz, I Jamal - Applied Soft Computing, 2021 - Elsevier
Multivariate time series data come as a collection of time series describing different aspects
of a certain temporal phenomenon. Anomaly detection in this type of data constitutes a …

A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm

W Deng, R Yao, H Zhao, X Yang, G Li - Soft computing, 2019 - Springer
Aiming at the problem that the most existing fault diagnosis methods could not effectively
recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy …