A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems
This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
Applications of geothermal organic Rankine Cycle for electricity production
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 …
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 …
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 …
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 …
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 …
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 …
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 …
algorithm is presented to solve complex optimisation problem. In the MSICEAO, the multi …
Clustering-based anomaly detection in multivariate time series data
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 …
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 …
recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy …