Wave energy converter array layout optimization: A critical and comprehensive overview
B Yang, S Wu, H Zhang, B Liu, H Shu, J Shan… - … and Sustainable Energy …, 2022 - Elsevier
The production efficiency and optimal control of wave energy converter (WEC) array are
mainly based on array layout, thus it is crucial to establish a reliable mathematical model for …
mainly based on array layout, thus it is crucial to establish a reliable mathematical model for …
A new metaheuristic bat-inspired algorithm
XS Yang - Nature inspired cooperative strategies for optimization …, 2010 - Springer
Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony
search are now becoming powerful methods for solving many tough optimization problems …
search are now becoming powerful methods for solving many tough optimization problems …
ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions
This study proposes novel integration of extreme learning machine (ELM) and adaptive
neuro swarm intelligence (ANSI) techniques for the determination of California bearing ratio …
neuro swarm intelligence (ANSI) techniques for the determination of California bearing ratio …
Novel leakage detection by ensemble 1DCNN-VAPSO-SVM in oil and gas pipeline systems
D Yang, N Hou, J Lu, D Ji - Applied Soft Computing, 2022 - Elsevier
In this paper, a novel ensemble model of one-dimensional convolution neural network
(1DCNN) and support vector machine (SVM) is proposed to improve the detection accuracy …
(1DCNN) and support vector machine (SVM) is proposed to improve the detection accuracy …
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance
A proper planning schedule for tunnel boring machine (TBM) construction is considered as a
necessary and difficult task in tunneling projects. Therefore, prediction of TBM performance …
necessary and difficult task in tunneling projects. Therefore, prediction of TBM performance …
A modified binary particle swarm optimization for knapsack problems
The Knapsack Problems (KPs) are classical NP-hard problems in Operations Research
having a number of engineering applications. Several traditional as well as population …
having a number of engineering applications. Several traditional as well as population …
Optimization of neural network model using modified bat-inspired algorithm
The success of an artificial neural network (ANN) strongly depends on the variety of the
connection weights and the network structure. Among many methods used in the literature to …
connection weights and the network structure. Among many methods used in the literature to …
Development and application of the bat algorithm for optimizing the operation of reservoir systems
O Bozorg-Haddad, I Karimirad… - Journal of Water …, 2015 - ascelibrary.org
Optimal utilization of water resources by means of water transfers and reservoirs in semiarid
and arid regions is used to mitigate natural water scarcity. In this context, metaheuristic …
and arid regions is used to mitigate natural water scarcity. In this context, metaheuristic …
A new meta-heuristic bat inspired classification approach for microarray data
The main objective of a classifier is to discover the hidden class level of the unknown data. It
is observed that data size, number of classes and dimension of feature space and inter class …
is observed that data size, number of classes and dimension of feature space and inter class …
Multi-population cooperative bat algorithm-based optimization of artificial neural network model
The performance of an artificial neural network (ANN) depends on the connection weights
and network structure. Many optimization algorithms have been applied for ANN model …
and network structure. Many optimization algorithms have been applied for ANN model …