Effect of the Chaotic Crossover Operator on  Breeding Swarms Algorithm

Demirci, Hüseyin; Yurtay, Nilüfer

doi:10.35377/saucis.04.01.796903

Cited by 4 publications

(1 citation statement)

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“…As in differential equations, infinite time is required to find the best solution in optimizing Energies 2022, 15, 5069 3 of 20 multivariate situations that vary depending on each other. The optimization algorithms solve the problem by obtaining a result that is usually very close to the global best result [25]. In other words, the correct and best results cannot be guaranteed.…”

Section: Methodsmentioning

confidence: 99%

Optimization of Laminar Boundary Layers in Flow over a Flat Plate Using Recent Metaheuristic Algorithms

2022

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Heat transfer is one of the most fundamental engineering subjects and is found in every moment of life. Heat transfer problems, such as heating and cooling, where the transfer of heat between regions is calculated, are problems that can give exact solutions with parametric equations, many of which were obtained by solving differential equations in the past. Today, the fact that heat transfer problems have a more complex structure has led to the emergence of multivariate models, and problems that are very difficult to solve with differential equations have emerged. Optimization techniques, which are also the subject of computer science, are frequently used to solve complex problems. In this study, laminar thermal boundary layers in flow over a flat plate, a sub-problem of heat transfer, is solved with recent metaheuristic algorithms. Teaching learning-based optimization (TLBO), sine cosine optimization (SCO), gray wolf optimization (GWO), whale optimization (WO), salp swarm optimization (SSO), and Harris hawk optimization (HHO) algorithms are used in the study. In the optimization problem, the laminar boundary layer thickness, heat flow, and distance from the leading edge are determined. These three models’ minimum, maximum, and target values are found under the specified design variables and constraints. In the study, 540 optimization models are run, and it is seen that HHO is the most suitable optimization technique for heat transfer problems. Additionally, SSO and WO algorithms gave results close to HHO. Other algorithms also set model targets with an average of less than 0.07% and acceptable error rates. In addition, the average problem solution time of all optimization algorithms and all models was 0.9 s. To conclude, the recent metaheuristic algorithms are found to be powerful and fast in solving heat transfer problems.

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Section: Methodsmentioning

confidence: 99%

Optimization of Laminar Boundary Layers in Flow over a Flat Plate Using Recent Metaheuristic Algorithms

2022

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A review of Chaotic Maps used for Generating Secure Random Keys

Abdulwahid Hameed,

Gbashi

2024

BIO Web Conf.

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The fusion of chaos theory and cryptography has yielded a dynamic landscape of innovative solutions for safe random key generation. This paper presents a comparison of several studies conducted in this field, aiming to distill key insights and discern common threads. Amidst the diversity of proposals, a consistent architectural framework emerges, while the true differentiators lie in the selection, configuration, and utilization of chaotic maps. These maps, harnessed for their inherent unpredictability, have a significant impact on how reliable and secure cryptographic systems are. Thus survey highlights the enduring relevance of chaotic maps as versatile tools in the cryptography arsenal. The interplay between mathematical complexity and computational expediency stands as a central theme, illustrating the delicate equilibrium researchers must navigate. As chaos-based cryptographic systems continue to evolve, this analysis serves as a compass for both practitioners and theoreticians, offering insights into the evolving landscape of safe key generation, and the challenges and opportunities that lie ahead.

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