1. First of all, this lecture presents research experience such as immune system, genetic algorithm, particle swarm optimization, bacterial foraging, and its hybrid system and application to real system. This lecture will also show research experience and results of emotion for emotion robot by AI. From research experience, immune system, PSO (Particle Swarm Optimization), BF (Bacteria Foraging...

in the deregulated power systems, transmission congestion is one of the significant and main problems of the electrical networks which can cause incremental cost in the energy. this problem has resulted to new challenging issues in different parts of power systems which there was not in the traditional systems or at least had very little importance. transmission congestion happens when the maxi...

This paper presents an approach for designing Unified Power Flow Controller (UPFC) using Bacterial Foraging Algorithm (BFA) for damping low frequency oscillations in a power system. The problem of UPFC-based damping controller is formulated as an optimization problem according to the eigen value-based objective function comprising the damping factor, and the damping ratio of the un-damped elect...

The novel metaheuristic manta ray foraging optimization (MRFO) algorithm is based on the smart conduct of rays. MRFO a newly developed swarm-based approach that emulates supportive performed by rays in search food. efficiently resolves several difficulties various domains due to its ability provide an equilibrium between global and local searches during procedure, resulting nearly optimal resul...

Bacterial Foraging Algorithm BFO is a recently proposed swarm intelligence algorithm inspired by the foraging and chemotactic phenomenon of bacteria. However, its optimization ability is not so good compared with other classic algorithms as it has several shortages. This paper presents an improved BFO Algorithm. In the new algorithm, a lifecycle model of bacteria is founded. The bacteria could ...

Data Mining is the process of extract useful information from the large data by using different mining techniques. Clustering and classification manage the large amount of data into different clusters according to their properties. Sometimes data arranged in clusters contain outliers that degrade the performance of the system. The outliers detected by K-Mean genetic algorithm also contain infor...

In this paper a hybrid distributed generation (DG) system connected to isolated load is studied. The DG system consisting of photo voltaic (PV) system, fuel cells, aqua electrolyzer, diesel engine generator and a battery energy storage system. The ambient temperature value of PV is taken as constant to make the output power of PV is directly proportional to the radiation and output power of oth...

Distributed generators are beneficial in reducing the losses effectively compared to other methods of loss reduction. On the other hand DGs can be implemented for improvement of reliability of system too. In this paper optimal DG sources placement using Bacterial Foraging Optimization (BFO) is discussed. The optimal size and location of the DG unit is calculated. Reliability and power loss redu...

The improved bacterial foraging algorithmwas applied in this paper to schedule the bus departing interval. Optimal interval can decrease the total operation cost and passengers’ mean waiting time. The principles of colony sensing, chemotactic action, and improved foraging strategy made this algorithm adaptive. Based on adaptive bacteria foraging algorithm ABFA , a model on one bus line in Hohho...