Now showing items 1-9 of 9
Recent advances in differential evolution: a survey and experimental analysis
Differential Evolution (DE) is a simple and efficient optimizer, especially for continuous optimization. For these reasons DE has often been employed for solving various engineering problems. On the other hand, the DE ...
Guest editorial: memetic computing in the presence of uncertainties.
A Memetic Differential Evolution Approach in Noisy Optimization
This paper proposes amemetic approach for solving complex optimization problems characterized by a noisy fitness function. The proposed approach aims at solving highly multivariate and multi-modal landscapes which are also ...
Optimization of Delayed-State Kalman-Filter-based Algorithm via Differential Evolution for Sensorless Control of Induction Motors
This paper proposes the employment of the differential evolution (DE) to offline optimize the covariance matrices of a new reduced delayed-state Kalman-filter (DSKF)-based algorithm which estimates the stator-flux linkage ...
A Differential Evolution for Optimisation in Noisy Environment
This paper proposes a novel variant of differential evolution (DE) tailored to the optimisation of noisy fitness functions. The proposed algorithm, namely noise analysis differential evolution (NADE), combines the stochastic ...
Differential Evolution with Scale Factor Local Search for Large Scale Problems
This chapter proposes the integration of fitness diversity adaptation techniques within the parameter setting of Differential Evolution (DE). The scale factor and crossover rate are encoded within each genotype and ...
Guest editorial: Memetic computing in the presence of uncertainties
Memetic compact differential evolution for cartesian robot control.
This article deals with optimization problems to be solved in the absence of a full power computer device. The goal is to solve a complex optimization problem by using a control card related to portable devices, e.g. for ...
Scale Factor Inheritance Mechanism in Distributed Differential Evolution
This article proposes a distributed differential evolution which employs a novel self-adaptive scheme, namely scale factor inheritance. In the proposed algorithm, the population is distributed over several sub-populations ...