Black Widow Optimization for Multi Area Economic Emission Dispatch

The optimizationfield has grown tremendously,and new optimization techniques are developed based on statistics and evolutionary procedures.There-fore,it is necessary to identify a suitable optimization technique for a particular application.In this work,Black Widow Optimization(BWO)algorithm is intro-duced to minimize the cost functions in order to optimize the Multi-Area Economic Dispatch(MAED).The BWO is implemented for two different-scale test systems,comprising 16 and 40 units with three and four areas.The performance of BWO is compared with the available optimization techniques in the literature to demonstrate the strategy’s efficacy.Results show that the optimized cost for four areas with 16 units is found to be 7336.76$/h,whereas it is 121,589$/h for four areas with 40 units using BWO.It is also noted that optimization algo-rithms other than BWO require higher cost value.The best-optimized solution for emission is achieved at 9.2784e+06 tones/h,and it is observed that there is a considerable difference between the worst and the best values.Also,the suggested technique is implemented for large-scale test systems successfully with high precision,and rapid convergence occurs in MAED.

Photodynamic therapy of oral leukoplakia and orallichen planus using methylene blue:A pilot study

Premalignant lesions like oral lichen planus(OLP),oral leukoplakia(OL)has a fair probability of transforming into malignancy and they are perverse toward conventional therapies.Photody-namic therapy(PDT)has been considered as an alternative/complimentary therapeutic mo-dality for the management of premalignant lesions.In this study,methylene blue mediated photodynamic therapy(MB-PDT)was used as a possible alternative method for the treatment of OLP and OL.A total of 15 OLP lesions and 13 OL lesions were enrolled in the study.The patients were irradiated 1using metal halide lamp filtered at 630土10nm,with a light exposure dose of 120 J/cm^(2) per stting.For the OLP lesions,MB-PDT was performed once a week for four weeks and for the OL lesions,MB-PDT was performed twice a week for three weeks.Lesions were evaluated pre-and post-and at follow-u sessions by changes in sign and symptom scores,and size of lesions.We have observed a 53.3%of complete reduction in the treated OLP lesions and their decrease in size,sign and symptom score after treatment and at follow-up session was statistially signifcant.We have also observed complete response for one OL lesion of the 13 treated lesions.The result indicates that MB-PDT is an effective modality in management of OLP and OL.Among the two types of premalignancies treated with MB-PDT,OLP lesions responded much better than that of OL.

EPQ models with bivariate random imperfect proportions and learningdependent production and demand rates

In this paper,three production inventory models are constructed for an imperfect manufacturing system by considering a warm-up production run,shortages during the hybrid maintenance period,and the rework of imperfect items.The proportions of imperfect items produced during the warm-up and regular production runs are random and they are represented using a bivariate random variable.The shortage quantity is partially backordered and the supply of backorder quantity is planned simultaneously with regular demand satisfaction.The learning models are designed to accommodate the different learning capabilities of workers in unit production time during warm-up and regular production periods.The production and demand rates of these models are made dependent on the learning exponents.As the resulting models are highly nonlinear in the decision variable,they are optimized using a genetic algorithm.The models are illustrated using numerical examples and sensitivity studies are performed to find the influence of the key parameters.