Based on the specific running steps of genetic algorithm, aiming at the shortcomings of genetic algorithm, an improved adaptive genetic algorithm is proposed. Finally, an example is used for simulation. The simulation results show that the improved algorithm has certain advantages.Shifen Han...
Tang HC.An Improved Adaptive Genetic Algorithm. KNOWLEDGE DISCOVERYAND DATA MINING . 2012Tang HC.An Improved Adaptive Genetic Algorithm.KNOWLEDGE DISCOVERYAND DATA MINING. 2012Liu Shuting. and Jin Taidong. “An improved adaptive genetic algorithm,” (in China), Location Science, pp. 127-128, ...
In this study, human reproduction mode was introduced into genetic algorithm and an improved adaptive genetic algorithm based on human reproduction mode for solving 0/1 knapsack problem was presented. The genetic operators of this algorithm included selection operator, help operator, adaptive crossover ...
CMF-AGAwER is a hybrid feature selection method that combines the ensemble of top informative features obtained from Classification Error Impurity (CEI), Mutual Information (MI), and Fisher Ratio (FR) as indicated by the purple box, with the wrapper Adaptive Genetic Algorithm with External Reposito...
the trajectory of robot joint is planned by the quintic polynomial interpolation under the premise of smooth operation of the manipulator, and the time interval of trajectory interpolation point is optimized by the improved adaptive genetic algorithm, so that the robot accomplishes task time as short...
In this paper, based on a simple genetic algorithm and combine the base ideology of orthogonal design method then applied it to the population initialization, using the intergenerational elite mechanism, as well as the introduction of adaptive local search operator to prevent trapped into the local ...
An improved genetic algorithm (GA) based on software agent design to minimise the makespan is presented. The paper proposes using an inherent characteristic of software agents to create a new perspective in GA design. To verify the developed metaheuristic, computational experiments are conducted on a...
In this study, the integration of an adaptive hybrid of differential evolution and particle swarm optimization (A-DEPSO) with adaptive neuro fuzzy inference system (ANFIS) model is adopted for EC prediction. The A-DEPSO method uses unique mutation and crossover processes to correspondingly boost ...
an improved genetic algorithm with a novel fitness function considering energy and load balance is presented to find the optimal routing path for each CH, and an adaptive round time is calculated to maintain the clusters. Simulation results show that GACRP can significantly improve the network energ...
Improved genetic algorithm (IGA)ElectrochemicalE0(V)A(V)in(mA/cm2)i0(mA/cm2)r(kΩ/cm2)m(V)n(cm2/mA) Range Set(0, 1.2)(0, 1)(0, 10)(0, 10)(0, 1)(0, 1)(0, 1) E.P.1.09200.02962.09068.89900.00350.00880.02194 AE0.3373 ...