A multi-objective genetic algorithm for the hot mix asphalt problem

Altıok, Mustafa; ALAKARA, Erdinç Halis; Gündüz, Mesut; Ağaoğlu, Melih Naci

doi:10.1007/s00521-022-08095-3

Cited by 6 publications

(2 citation statements)

References 57 publications

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“…In the context of machine learning and optimization algorithms, a hyperparameter is a parameter that is not directly learned from the dataset but is crucial for algorithm configuration [44]. Alpha, the hyperparameter in BLX-alpha, determines the extent of genetic differences between two parents and typically assumes a value within the range of 0 < α < 1 [45], [46].…”

Section: ) Crossover (Blx-a)mentioning

confidence: 99%

Vibrational Genetic Algorithm-Based Deployment of Wireless Sensor Networks With Heterogeneous Nodes in Irregularly Shaped Areas

Birtane,

Sahingoz,

Korkmaz

2024

IEEE Access

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Over the past few years, there has been a significant emphasis on improving the capabilities of Wireless Sensor Networks (WSNs) by making advancements in communication protocols, energy efficiency, optimal deployment, data analytics, and integration with emerging technologies such as the Internet of Things and artificial intelligence. The deployment of WSN nodes can greatly enhance the effectiveness, scalability, and capability of different systems, resulting in cost reductions, enhanced performance, and improved safety in which the deployment of WSN involves determining the best positioning of sensor nodes to attain maximum coverage and connectivity while minimizing the number of nodes needed. WSNs often face challenges in deploying nodes effectively and Genetic Algorithms (GAs) offer a valuable approach for tackling this problem due to their ability to efficiently search large and complex solution spaces, such as those of complex network design, taking into account various constraints and objectives, which are common characteristics of real-world WSN deployment scenarios. The objective of this study is to use a new method, called the vibrational genetic algorithm, which can be used to optimize the placement of sensor nodes more efficiently. Apart from the other research, it is preferred to use heterogeneous sensor nodes to increase the coverage rate in an irregularly shaped area. The results of the experiments demonstrate that the proposed model offers an effective solution for achieving maximum coverage in application theaters that are more realistic and complex.

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Section: ) Crossover (Blx-a)mentioning

confidence: 99%

Vibrational Genetic Algorithm-Based Deployment of Wireless Sensor Networks With Heterogeneous Nodes in Irregularly Shaped Areas

Birtane,

Sahingoz,

Korkmaz

2024

IEEE Access

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“…The depletion of raw material resources and the escalation of environmental pollution have prompted researchers to conduct various studies for the sustainability of the construction industry. In some studies, the usability of industrial waste has been investigated in cementitious composites, geopolymers, asphalt coatings, and road base and subbase layers, either as aggregates or binders [3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Effects of High Temperature and Cooling Regimes on Properties of Marble Powder-Based Cementitious Composites

Bayer,

Sevim,

Demir

2023

Buildings

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The demand for cement is increasing every day worldwide. To meet this demand, natural resources are rapidly being depleted. The excessive consumption of natural resources encourages researchers to conduct studies on the use of waste materials instead of cement. Marble waste is one of the major natural wastes abundantly generated worldwide. It has been evaluated that there is a gap in the literature regarding a study comparing the effects of different cooling regimes on cementitious composites with a marble powder (MP) replacement that has been exposed to high temperatures. In this study, waste marble powder (MP) was used as a replacement for cement at percentages of 5%, 10%, 15%, 20%, and 25% by mass. The water-to-binder ratio was kept constant at 0.5 for all mixture groups. Subsequently, the prepared cementitious composites were exposed to high temperatures (300 °C, 600 °C, and 800 °C) and subjected to air- and water-cooling regimes. Within the scope of this study, unit weight (Uw), ultrasonic pulse velocity (UPV), flexural strength (ffs), compressive strength (fcs), and mass loss tests were conducted. Additionally, a microstructure analysis was carried out using scanning electron microscopy (SEM) to examine the effect of MP replacement and the cooling regime. When examining the results of the samples tested in the laboratory, it was observed that the mortar with 5% MP replacement exhibited better mechanical properties compared with the others. In general, it can be said that the mechanical properties of samples cooled in air after exposure to high temperatures were better than those of samples cooled in water. As a result of this study, it was determined that MP replacement could positively contribute to the resistance of cementitious composites to high temperatures. Additionally, the use of a significant amount of waste MP can lead to savings in cement usage and significant reductions in CO2 emissions.

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MOAAA/D: a decomposition-based novel algorithm and a structural design application

Altiok,

Gündüz

2024

Neural Comput & Applic

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When real-world engineering challenges are examined adequately, it becomes clear that multi-objective need to be optimized. Many engineering problems have been handled utilizing the decomposition-based optimization approach according to the literature. The performance of multi-objective evolutionary algorithms is highly dependent on the balance of convergence and diversity. Diversity and convergence are not appropriately balanced in the decomposition technique, as they are in many approaches, for real-world problems. A novel Multi-Objective Artificial Algae Algorithm based on Decomposition (MOAAA/D) is proposed in the paper to solve multi-objective structural problems. MOAAA/D is the first multi-objective algorithm that uses the decomposition-based method with the artificial algae algorithm. MOAAA/D, which successfully draws a graph on 24 benchmark functions within the area of two common metrics, also produced promising results in the structural design problem to which it was applied. To facilitate the design of the "rectangular reinforced concrete column" using MOAAA/D, a solution space was derived by optimizing the rebar ratio and the concrete quantity to be employed.

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A multi-objective genetic algorithm for the hot mix asphalt problem

Cited by 6 publications

References 57 publications

Vibrational Genetic Algorithm-Based Deployment of Wireless Sensor Networks With Heterogeneous Nodes in Irregularly Shaped Areas

Vibrational Genetic Algorithm-Based Deployment of Wireless Sensor Networks With Heterogeneous Nodes in Irregularly Shaped Areas

Effects of High Temperature and Cooling Regimes on Properties of Marble Powder-Based Cementitious Composites

MOAAA/D: a decomposition-based novel algorithm and a structural design application

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