A survey on crossover operators
Crossover is an important operation in the Genetic Algorithms (GA). Crossover operation is
responsible for producing offspring for the next generation so as to explore a much wider …
responsible for producing offspring for the next generation so as to explore a much wider …
Modal-based FE model updating via genetic algorithms: Exploiting artificial intelligence to build realistic numerical models of historical structures
G Standoli, GP Salachoris, MG Masciotta… - … and Building Materials, 2021 - Elsevier
Cultural Heritage preservation requires the combination of in situ investigations and
accurate Finite Elements models in order to correctly interpret the empirical evidence and …
accurate Finite Elements models in order to correctly interpret the empirical evidence and …
[HTML][HTML] Feature-selection and mutual-clustering approaches to improve DoS detection and maintain WSNs' lifetime
Wireless Sensor Networks (WSNs) continue to face two major challenges: energy and
security. As a consequence, one of the WSN-related security tasks is to protect them from …
security. As a consequence, one of the WSN-related security tasks is to protect them from …
A new PC-PSO algorithm for Bayesian network structure learning with structure priors
Bayesian network structure learning is the basis of parameter learning and Bayesian
inference. However, it is a NP-hard problem to find the optimal structure of Bayesian …
inference. However, it is a NP-hard problem to find the optimal structure of Bayesian …
MRI imaging, comparison of MRI with other modalities, noise in MRI images and machine learning techniques for noise removal: a review
Background: Medical imaging is to assume greater and greater significance in an efficient
and precise diagnosis process. Discussion: It is a set of various methodologies which are …
and precise diagnosis process. Discussion: It is a set of various methodologies which are …
Balanced crossover operators in genetic algorithms
In several combinatorial optimization problems arising in cryptography and design theory,
the admissible solutions must often satisfy a balancedness constraint, such as being …
the admissible solutions must often satisfy a balancedness constraint, such as being …
Uncertainty management in differential evolution induced multiobjective optimization in presence of measurement noise
This paper aims to design new strategies to extend traditional multiobjective optimization
algorithms to efficiently obtain Pareto-optimal solutions in presence of noise on the objective …
algorithms to efficiently obtain Pareto-optimal solutions in presence of noise on the objective …
On the recombination operator in the real-coded genetic algorithms
Crossover is the most important operator in real-coded genetic algorithms. However, the
choice of the best operator for a specific problem can be a difficult task. In this paper we …
choice of the best operator for a specific problem can be a difficult task. In this paper we …
P2O: AI-Driven Framework for Managing and Securing Wastewater Treatment Plants
A Kulkarni, M Yardimci, MN Kabir Sikder… - Journal of …, 2023 - ascelibrary.org
Wastewater treatment plants (WWTPs) are critical infrastructures responsible for processing
wastewater before discharging effluent to rivers and other potential uses. WWTPs use large …
wastewater before discharging effluent to rivers and other potential uses. WWTPs use large …
[HTML][HTML] Differential evolution for noisy multiobjective optimization
We propose an extension of multiobjective optimization realized with the differential
evolution algorithm to handle the effect of noise in objective functions. The proposed …
evolution algorithm to handle the effect of noise in objective functions. The proposed …