In recent years, the one-dimensional bin packing problem (1D-BPP) has become one of the most famous combinatorial optimization problems. The 1D-BPP is a robust NP-hard problem that can be solved through optimization algorithms. This paper proposes an adaptive procedure using a recently optimized swarm algorithm and fitness-dependent optimizer (FDO), named the AFDO, to solve the BPP. The proposed algorithm is based on the generation of a feasible initial population through a modified well-known first fit (FF) heuristic approach. To obtain a final optimized solution, the most critical parameters of the algorithm are adapted for the problem. To the best of our knowledge, this is the first study to apply the FDO algorithm in a discrete optimization problem, especially for solving the BPP. The adaptive algorithm was tested on 30 instances obtained from benchmark datasets. The performance and evaluation results of this algorithm were compared with those of other popular algorithms, such as the particle swarm optimization (PSO) algorithm, crow search algorithm (CSA), and Jaya algorithm. The AFDO algorithm obtained the smallest fitness values and outperformed the PSO, CS, and Jaya algorithms by 16%, 17%, and 11%, respectively. Moreover, the AFDO shows superiority in terms of execution time with improvements over the execution times of the PSO, CS, and Jaya algorithms by up to 46%, 54%, and 43%, respectively. The experimental results illustrate the effectiveness of the proposed adaptive algorithm for solving the 1D-BPP. INDEX TERMS Bin packing, first fit heuristic, fitness-dependent optimizer, swarm intelligent algorithms.

Preeclampsia (PE) is the most common medical complication of pregnancy characterized by hypertension and significant proteinuria after the 20th week of gestation, its prevalence is about 2%–8% of pregnancies. Antihypertensive drugs were found to have an adverse effect to both the mother and the fetus so interest is increased in nonchemical treatment. This study was conducted to compare between the effects of stretching exercises versus autogenic training (AT) on PE. This study was carried out on 40 preeclamptic primiparous women, their gestational age was exceeding 20 weeks. They were randomly divided into two equal groups; group A consisted of 20 women received stretching exercises and group B consisted of 20 women received relaxation training in the form of AT. All patients in both groups A and B received (3 sessions per week for 6 weeks) and received methyldopa as the antihypertensive drug. Evaluation of all patients in both groups A and B was done before and after the treatment program by assessing arterial blood pressure and proteinuria. Results of this study revealed that there is a significant decrease in systolic blood pressure, diastolic blood pressure and proteinuria in both groups A and B after 6 weeks of treatment. There was no significant difference between both groups post-treatment in systolic blood pressure, diastolic blood pressure, and proteinuria. It can be concluded that both stretching exercise and AT were found to be effective nonchemical methods which control the symptoms of PE.

Purpose This research aims to present an aero-propulsive interaction model applied to conceptual aircraft design with distributed electric propulsion (DeP). The developed model includes a series of electric ducted fans integrated into the wing upper trailing edge, taking into account the effect of boundary layer ingestion (BLI). The developed model aims to estimate the aerodynamic performance of the wing with DeP using an accurate low-order computational model, which can be easily used in the overall aircraft design's optimization process. Design/methodology/approach First, the ducted fan aerodynamic performance is investigated using a low-order computational model over a range of angle of attack required for conventional flight based on ducted fan design code program and analytical models. Subsequently, the aero-propulsive coupling with the wing is introduced. The DeP location chordwise is placed at the wing's trailing edge to have the full benefits of the BLI. After that, the propulsion integration process is introduced. The nacelle design's primary function is to minimize the losses due to distortion. Finally, the aerodynamic forces of the overall configuration are estimated based on Athena Vortex Lattice program and the developed ducted fan model. Findings The ducted fan model is validated with experimental measurements from the literature. Subsequently, the overall model, the wing with DeP, is validated with experimental measurements and computational fluid dynamics, both from the literature. The results reveal that the currently developed model successfully estimates the aerodynamic performance of DeP located at the wing trailing edge. Originality/value The developed model's value is to capture the aero-propulsive coupling accurately and fast enough to execute multiple times in the overall aircraft design's optimization loop without increasing runtime substantially.

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