Application of differential evolution to optimize exponential curve model of ultimate bearing capacity of single pile

Particle swarm optimization based on differential evolution;

A novel radial basis function neural network (RBFNN) model based on a hybrid learning algorithm differential evolution and particle swarm optimization (DEPSO) is proposed in this paper to predict the shell temperature for SF6-insulated transformers.

A new global optimal algorithm,differential evolution (DE), is introduced into the optimal design of permanent magnet synchronous motor.

A hybrid optimization algorithm that combines advantages of two global optimization algorithms (simulated annealing algorithm and differential evolution algorithm) is developed and applied to the problem of determining seabed properties by minimizing the mismatch between measured and modeled acoustic fields, since there are a lot of problems in both of the algorithms.

Solving two-impulse transfer trajectory problems by improved differential evolution algorithm;

A differential evolution algorithm with double trial vectors based-on Boltzmann mechanism;

Research on Differential Evolution Algorithm and Its Applications

Application of feed-forward neural networks to dam deformation monitoring based on differential evolution algorithm;

(1) This thesis presents a kind of Differential Evolution Algorithm with Random Key method(RKRDE) for solving linear and loop facility layout problems of workshop.

A method based on the Monte-Carlo simulation and differential evolution algorithm is used for solving the established optimization problem.

To overcome this shortcoming, we develop a hybrid optimization algorithm, which combines differential evolution (DE) algorithm and downhill simplex (DHS) algorithm, and apply it to the problem of determining seabed properties by minimizing the mismatch between measured and modeled acoustic fields.