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**11 - 17**of**17**### Design of Energy Efficient Low Cost Solar Concentrators using BFO Algorithm

"... Abstract: The main problem involved in utilization of solar energy is low efficiency of photovoltaic conversion and high cost. The objectives of the paper are to increase the efficiency of photovoltaic cells and to reduce the cost of the photovoltaic module. A novel method is presented in this pape ..."

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Abstract: The main problem involved in utilization of solar energy is low efficiency of photovoltaic conversion and high cost. The objectives of the paper are to increase the efficiency of photovoltaic cells and to reduce the cost of the photovoltaic module. A novel method is presented in this paper to increase the efficiency of photovoltaic modules and reduce the cost by the use of specially designed solar concentrators .The efficiency of photovoltaic module is increased by covering an angle of nearly 180° so that the sun's radiation converges throughout the day from all angles on to a fixed flat plate module. The cost is reduced by use of cheaper glass for module and covering a wider area for the radiation. The above objectives are achieved by the use of a special arrangement of three lenses for the concentrators. A dynamic rapid method for tracking the maximum power angle of solar cell arrays known as Bacteria Foraging Optimization (BFO) algorithm has been used. Experimental analysis is presented for the comparison of different positions of the sun for maximum power alignment.

### Particle Swarm Optimization

"... Abstract—An efficient hybrid method is presented to obtain the current distribution of both non-uniformly linear and planar arrays by sampling the array factor of a desired radiation pattern. The proposed method provides Fourier coefficients and uses the Least Mean Square method (LMS) to solve the s ..."

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Abstract—An efficient hybrid method is presented to obtain the current distribution of both non-uniformly linear and planar arrays by sampling the array factor of a desired radiation pattern. The proposed method provides Fourier coefficients and uses the Least Mean Square method (LMS) to solve the system of equations in order to obtain current distribution in associate with the desired radiation pattern. The obtained level of first Peak Side Lobe Level (PSLL) is 3 dB lower than the level of first PSLL using conventional methods such as LMS method or Legendre function method.

### AN INFORMATIVE DIFFERENTIAL EVOLUTION AL- GORITHM WITH SELF ADAPTIVE RE-CLUSTERING TECHNIQUE FOR THE OPTIMIZATION OF PHASED ANTENNA ARRAY

"... Abstract—In this paper, we propose a new algorithm called An Informative Differential Evolution with Self Adaptive Re-clustering Technique to find the amplitude-phase excitation of a linear phased array to have the desired far field pattern. Here we consider three problems for three different far fi ..."

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Abstract—In this paper, we propose a new algorithm called An Informative Differential Evolution with Self Adaptive Re-clustering Technique to find the amplitude-phase excitation of a linear phased array to have the desired far field pattern. Here we consider three problems for three different far field patterns and each problem is optimized with this algorithm. This algorithm has a proper balancing of exploration and exploitation power which is achieved with the help of information exchange among the subpopulations. We also used an elitist local search algorithm for the fine tuning at the suspected optimal position, and that helps us from the unnecessary wastage of Function Evaluations (FEs). 1.

### Motif Discovery using Evolutionary Algorithms

"... The bacterial foraging optimization (BFO) algorithm is a nature and biologically inspired computing method. We propose an alternative solution integrating bacterial foraging optimization algorithm and Tabu Search (TS) algorithm namely TS-BFO. We modify the original BFO via established a self-control ..."

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The bacterial foraging optimization (BFO) algorithm is a nature and biologically inspired computing method. We propose an alternative solution integrating bacterial foraging optimization algorithm and Tabu Search (TS) algorithm namely TS-BFO. We modify the original BFO via established a self-control multi-length chemotactic step mechanism, and introduce rao metric. We utilize it to solve motif discovery problem and compare the experimental result with existing famous DE/EDA algorithm which combines global information extracted by estimation of distribution algorithm (EDA) with differential information obtained by Differential evolution (DE) to search promising solutions. The experiments on real data set selected from TRANSFAC and SCPD database have predicted meaningful motif which demonstrated that TS-BFO and DE/EDA are promising approaches for finding motif and enrich the technique of motif discovery. 1.

### Swarm Intelligence 1 Swarm Intelligence

"... Increasing numbers of books, websites and articles are devoted to the concept of ‘swarm intelligence’. Meanwhile, a perhaps confusing variety of computational techniques are seen to be associated with this term, such as ‘agents’, ‘emergence’, ‘boids’, ‘ant colony optimisation’, and so forth. In this ..."

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Increasing numbers of books, websites and articles are devoted to the concept of ‘swarm intelligence’. Meanwhile, a perhaps confusing variety of computational techniques are seen to be associated with this term, such as ‘agents’, ‘emergence’, ‘boids’, ‘ant colony optimisation’, and so forth. In this chapter we attempt to clarify the concept of swarm intelligence and its associations, and we attempt to provide a perspective on its inspirations, history, and current state. We focus on the most popular and successful algorithms that are associated with swarm intelligence, namely ant colony optimisation, particle swarm optimisation, and (more recently) foraging algorithms, and we cover the sources of natural inspiration with these foci in mind. We then round off the chapter with a brief review of current trends. 1

### Research Article Correction of Faulty Sensors in Phased Array Radars Using Symmetrical Sensor Failure Technique and Cultural Algorithm with Differential Evolution

"... Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Three issues regarding sensor failure at any position in the antenna array are discussed. We assume that sensor position is known. The iss ..."

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Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Three issues regarding sensor failure at any position in the antenna array are discussed. We assume that sensor position is known. The issues include raise in sidelobe levels, displacement of nulls from their original positions, and diminishing of null depth. The required null depth is achieved by making the weight of symmetrical complement sensor passive. A hybrid method based on memetic computing algorithm is proposed.The hybridmethod combines the cultural algorithmwith differential evolution (CADE) which is used for the reduction of sidelobe levels and placement of nulls at their original positions. Fitness function is used to minimize the error between the desired and estimated beam patterns along with null constraints. Simulation results for various scenarios have been given to exhibit the validity and performance of the proposed algorithm. 1.

### DIGITAL AMPLITUDE CONTROL FOR INTERFER- ENCE SUPPRESSION USING IMMUNITY GENETIC AL- GORITHM

"... Abstract—In this paper, we propose a novel genetic algorithm (GA) called immunity GA (IGA) for array pattern synthesis with interference suppression using digital amplitude only control. The IGA is based on crossover evolution where the crossover operator is a variant of the known GA operator. A new ..."

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Abstract—In this paper, we propose a novel genetic algorithm (GA) called immunity GA (IGA) for array pattern synthesis with interference suppression using digital amplitude only control. The IGA is based on crossover evolution where the crossover operator is a variant of the known GA operator. A new formulation of the array factor transform for a specific number of elementsN is expressed by a discrete cosine transform (DCT) with pre-computed DCT matrix. Evaluating thousands of candidate solutions generated by the IGA using the precomputed DCT matrix will result in a high speed computation. This high performance allows us to find a good approximation of the absolute minimum SLL of synthesized arrays with digital amplitude control. Simulation results show the effectiveness of this new algorithm for pattern synthesis with low SLL and null steering. 1.