Optimization of type III pressure vessels using genetic algorithm and simulated annealing
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Alcántar, V.↗
SEARCH · Engineering Papers
Results for “genetic algorithm”
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Optimization of self-interstitial clusters in 3C-SiC with genetic algorithm
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Ko, Hyunseok↗
Prediction of and genetic algorithm optimization on data induced uncertainty reduction with the use of an integral experiment
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DePillis, Alexander Amedeo↗
Investigating energetics of Au8 on graphene/Ru(0001) using a genetic algorithm and density functional theory
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Teng, Dieh↗
A genetic algorithm based approach for multi-objective hardware/software co-optimization
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Banerjee, Tania↗
Inverse Design of Tetracene Polymorphs with Enhanced Singlet Fission Performance by Property-Based Genetic Algorithm Optimization
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37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
Cluster-MLP: An Active Learning Genetic Algorithm Framework for Accelerated Discovery of Global Minimum Configurations of Pure and Alloyed Nanoclusters
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37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
Modeling Metallic Halide Local Structures in Salt Melts Using a Genetic Algorithm
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Chemistry↗
Pursuit of the Ultimate Regression Model for Samarium(III), Europium(III), and LiCl Using Laser-Induced Fluorescence, Design of Experiments, and a Genetic Algorithm for Feature Selection
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37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
Quantum-inspired genetic algorithm for designing planar multilayer photonic structure
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36 MATERIALS SCIENCE↗
Parameter estimation for chaotic systems using a hybrid adaptive cuckoo search with simulated annealing algorithm
This paper introduces a novel hybrid optimization algorithm to establish the parameters of chaotic systems. In order to deal with the weaknesses of the traditional cuckoo search algorithm, the proposed adaptive cuckoo search with simulated annealing algorithm is presented, which incorporates the adaptive parameters adjusting operation and the simulated annealing operation in the cuckoo search algorithm. Normally, the parameters of the cuckoo search algorithm are kept constant that may result in decreasing the efficiency of the algorithm. For the purpose of balancing and enhancing the accuracy and convergence rate of the cuckoo search algorithm, the adaptive operation is presented to tune the parameters properly. Besides, the local search capability of cuckoo search algorithm is relatively weak that may decrease the quality of optimization. So the simulated annealing operation is merged into the cuckoo search algorithm to enhance the local search ability and improve the accuracy and reliability of the results. The functionality of the proposed hybrid algorithm is investigated through the Lorenz chaotic system under the noiseless and noise condition, respectively. The numerical results demonstrate that the method can estimate parameters efficiently and accurately in the noiseless and noise condition. Finally, the results are compared with the traditional cuckoo search algorithm, genetic algorithm, and particle swarm optimization algorithm. Simulation results demonstrate the effectiveness and superior performance of the proposed algorithm.
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSIC↗
Conceptual optimization using genetic algorithms for tube in tube structures
The purpose of this article is to optimize the tube in tube structural systems for tall buildings under the horizontal wind loads. It is well-known that the horizontal wind loads is the main criteria when choosing the structural system, the types and the dimensions of structural elements in the majority of tall buildings. Thus, the structural response of tall buildings under the horizontal wind loads will be analyzed for 40 story buildings and a total height of 120 meters; the horizontal dimensions will be 30m × 30m for the first two optimization problems and 15m × 15m for the third. The optimization problems will have the following as objective function the cross section area, as restrictions the displacement of the building< the admissible displacement (H/500), and as variables the cross section dimensions of the structural elements.
42 ENGINEERING↗
Communication: Analytical optimal pulse shapes obtained with the aid of genetic algorithms: Controlling the photoisomerization yield of retinal
We recently proposed a Quantum Optimal Control (QOC) method constrained to build pulses from analytical pulse shapes [R. D. Guerrero et al., J. Chem. Phys. 143(12), 124108 (2015)]. This approach was applied to control the dissociation channel yields of the diatomic molecule KH, considering three potential energy curves and one degree of freedom. In this work, we utilized this methodology to study the strong field control of the cis-trans photoisomerization of 11-cis retinal. This more complex system was modeled with a Hamiltonian comprising two potential energy surfaces and two degrees of freedom. The resulting optimal pulse, made of 6 linearly chirped pulses, was capable of controlling the population of the trans isomer on the ground electronic surface for nearly 200 fs. The simplicity of the pulse generated with our QOC approach offers two clear advantages: a direct analysis of the sequence of events occurring during the driven dynamics, and its reproducibility in the laboratory with current laser technologies.
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗