this paper proposes a novel hybrid algorithm namely apso-bfo which combines merits of bacterial foraging optimization (bfo) algorithm and adaptive particle swarm optimization (apso) algorithm to determine the optimal pid parameters for control of nonlinear systems. to balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...

Main contribution of this work is improving transient stability by installing Flexible AC Transmission System (FACTS) in power systems. For do this, Unified Power Flow Controller (UPFC) has been selected. Also a novel structure has been suggested to improve classic Harmony Search algorithm and suggested improved Harmony Search (iHS) algorithm. This algorithm has been used to obtain UPFC paramet...

Diagnosing the cardiovascular disease is one of biggest medical difficulties in recent years. Coronary (CHD) a kind heart and blood vascular disease. Predicting this sort cardiac illness leads to more precise decisions for disorders. Implementing Grid Search Optimization (GSO) machine training models therefore useful way forecast sickness as soon possible. The state-of-the-art work tuning hyper...

A stochastic Lyapunov function was used to assess the convergence velocity of a simple evolutionary algorithm with self-adaptation, which searches for a maximum of a “fitness” function. This algorithm uses two types of parameters: “fitness” parameters belonging to the domain of the function, and strategy parameters, which control changes of fitness parameters. It was shown that the convergence ...

This paper describes penalty search based on a modified neighborhood search where move and solution penalty functions attempt to keep the search process out of recently "explored" regions. During the penalty search process trajectories which may cause a cycle or drive the search process towards recently found local optimums are made "less attractive" by using penalty parameters. Penalty search ...

To deal with the uncertainties in modeling offshore wind turbines, we propose a parameter inversion method for pile–soil interaction model based on structural health monitoring results and numerical model. The proposed has model, an objective function selected using both identified results, inverse optimization random search algorithm assumed space. minimum are as situ parameter. is confirmed t...