The present paper deals with the optimal sizing of CMOS positive second-generation current conveyors (CCII+) employing an optimization algorithm. A contemporary non-gradient stochastic optimization algorithm, called bacterial foraging optimization (BFO) algorithm, has been employed to obtain the optimal physical dimensions of the constituent PMOS and NMOS transistors of the CCII+. The optimizat...

A suboptimal partial transmit sequence (PTS) based on bacterial foraging optimization (BFO) algorithm is presented for the low computation complexity and the reduction of the peak-to-average power ratio (PAPR) of a multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) system. In general, PTS technique can improve the PAPR statistics of a MIMOOFDM system. However,...

In this paper, we present a new design of optimal utility based call admission control framework using Bacterial Foraging Optimization. With the aim of ensure the Quality of Service (QoS) and to reduce the performance degradation in call admission process the utility based scheduling call admission process is optimized. In the proposed algorithm, The foraging behavior of bacteria is considered ...

Methods In this work, an artificial intelligence technique known as the hybrid Bacterial Foraging Particle Swarm Optimization (BFPSO) algorithm is used in conjunction with the three dimensional patient specific HIV model, for estimation of optimal drug concentration. In the mathematical model, it is assumed that the drug acts directly on the viral burden. The optimization problem is formulated ...

Tayebeh Mostajabi, Javad Poshtan Abstract— A central topic of swarm intelligence is the investigation of different types of emergent collective behaviors in swarms. This article focus on the swarm intelligence applications in control and system identification. Particle swarm optimization (PSO), a novel population based stochastic optimizer with fast convergence speed and simple implementation a...

Bacterial foraging optimization algorithm (BFOA) has attracted a lot of attention as a high performance optimizer because of its faster convergence and global search approach. Since its inception, BFOA has been applied successfully to wide variety various applications leading to faster convergence with higher accuracy. This paper presents one such application of the algorithm i.e. optimization ...

This paper presents a multi-objective optimization algorithm based design and control of harmonic filters in a practical system. The selected system is an interconnected system consisting of nonlinear loads. The harmonics injected by the nonlinear loads are propagated through the system and lead to deteriorated power quality at the terminals of all the connected loads. The proposed methodology ...

This paper represents the metaheuristics proposed for solving a class of Shop Scheduling problem. The Bacterial Foraging Optimization algorithm is featured with Ant Colony Optimization algorithm and proposed as a natural inspired computing approach to solve the Mixed Shop Scheduling problem. The Mixed Shop is the combination of Job Shop, Flow Shop and Open Shop scheduling problems. The sample i...

In order to obtain accurate and reliable network planning in the Radio Frequency Identification (RFID) communication system, the locations of readers and the associated values for each of the reader parameters have to be determined. All these choices must optimize a set of objectives, such as tag coverage, economic efficiency, load balance, and interference level between readers. This paper pro...

Nowadays new peer to peer (P2P) traffic with dynamic port and encrypted technology makes the identification of P2P traffic become more and more difficult. As one of the optimal classifiers, support vector machine (SVM) has special advantages with avoiding local optimum, overcoming dimension disaster, resolving small samples and high dimension for P2P classification problems. However, to employ ...