Set-based integer-coded fuzzy granular evolutionary algorithms for high-dimensional feature selection
H Saadatmand, MR Akbarzadeh-T - Applied Soft Computing, 2023 - Elsevier
Feature selection plays a pivotal role in handling today's high-dimensional databases by
keeping only the most valuable features, leading to less computation, improved …
keeping only the most valuable features, leading to less computation, improved …
Evolutionary black-box topology optimization: Challenges and promises
Black-box topology optimization (BBTO) uses evolutionary algorithms and other soft
computing techniques to generate near-optimal topologies of mechanical structures …
computing techniques to generate near-optimal topologies of mechanical structures …
Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization
Surrogate-assisted meta-heuristic algorithms have won more and more attention for solving
computationally expensive problems over past decades. However, most existing surrogate …
computationally expensive problems over past decades. However, most existing surrogate …
[HTML][HTML] Topology optimization of two-dimensional asymmetrical phononic crystals
The multiple elitist genetic algorithm with the adaptive fuzzy fitness granulation (AFFG) is
used to design the phononic crystals with large relative bandgap width (BGW) for combined …
used to design the phononic crystals with large relative bandgap width (BGW) for combined …
Dual-fuzzy-classifier-based evolutionary algorithm for expensive multiobjective optimization
Multiobjective evolutionary algorithms (MOEAs) have been widely used to solve
multiobjective optimization problems (MOPs). Conventional MOEAs usually require a large …
multiobjective optimization problems (MOPs). Conventional MOEAs usually require a large …
Simulation and modeling of an improved multi-verse optimization algorithm for QoS-aware web service composition with service level agreements in the cloud …
M Yaghoubi, A Maroosi - Simulation Modelling Practice and Theory, 2020 - Elsevier
Cloud computing is a new trend in information technology that provides resources and
shares services by web services over the internet for users. Many web services have similar …
shares services by web services over the internet for users. Many web services have similar …
A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants
The loss of coolant accident (LOCA) of a nuclear power plant (NPP) is a severe accident in
the nuclear energy industry. Nowadays, neural networks have been trained on nuclear …
the nuclear energy industry. Nowadays, neural networks have been trained on nuclear …
Algorithm for increasing the speed of evolutionary optimization and its accuracy in multi-objective problems
A Shokri, O Bozorg Haddad, MA Mariño - Water resources management, 2013 - Springer
Optimization algorithms are important tools for the solution of combinatorial management
problems. Nowadays, many of those problems are addressed by using evolutionary …
problems. Nowadays, many of those problems are addressed by using evolutionary …
Topology optimization of chiral phoxonic crystals with simultaneously large phononic and photonic bandgaps
We study theoretically the simultaneous existence of large phononic and photonic bandgaps
in chiral phoxonic crystals by topology optimization. By analyzing the effect of the chiral …
in chiral phoxonic crystals by topology optimization. By analyzing the effect of the chiral …
Topology optimization of single-phase phononic crystals based on a search-space-reduction strategy with a Genetic Algorithm
C Xiong, CY Lee, QH Qin - Materials Today Communications, 2023 - Elsevier
Genetic Algorithm, as a type of heuristic algorithm, is well suited for searching the solutions
to the problems involving large search space that does not have smooth gradients for finding …
to the problems involving large search space that does not have smooth gradients for finding …