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Genetic Algorithms
Genetic algorithm, a very simple but very powerful stochastic global optimizer, has been applied to many fields in search and optimization. This...
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A Comparison of Crossover Operators in Genetic Algorithms for Steel Domain
This chapter deals with the hot rolling scheduling problem in steelmaking. In the factories, the slabs are first assigned to order and sent to the...
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Comparative Study of Two Genetic Algorithms for Steel Production Planning Under Different Order Backlog Circumstances
This chapter aims at comparing two genetic algorithms (GA) designed for steel production planning. While the first GA attempts to minimize production...
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Single- and Multiobjective Optimizations of Dimensionally Stable Composites Using Genetic Algorithms
The present study aims to design stacking sequences of dimensionally stable symmetric balanced laminated carbon/epoxy composites, with different...
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Optimization Toolpath Generation for Drill Hole on Three Axes CNC Machine Using Genetic Algorithms
Flat metal sheets with many holes are widely used in industries for example, box shells, plates, or PCB boards. The selection of the tool path...
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Multi-Objective Optimization for Sustainable Machining of Hastelloy C-276 Using Evolutionary Algorithms
The use of petroleum-based lubricants in machining processes is dubious due to environmental hazards and risks to human health. Plant-based cutting...
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Performance Optimization of Ti-6Al-4V Milling Process Using Sustainable Cooling Approach and Application of Rao Algorithms
Titanium alloy is the most promising superalloy widely used in avionics systems, because of its high strength and great corrosion resistance....
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Modeling and optimization of nanovector drug delivery systems: exploring the most efficient algorithms
The most efficient artificial intelligence (AI) and metaheuristic algorithms have been assessed for the design of nanovector (NV) drug delivery...
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A comparative analysis of ant colony and genetic algorithm optimization to select optimal arrangement of viscous damper in steel frame
Natural phenomena-based optimization methods have gained recognition in recent years due to their lack of heavy mathematical calculations,...
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Novel Coupled Genetic Algorithm–Machine Learning Approach for Predicting Surface Roughness in Fused Deposition Modeling of Polylactic Acid Specimens
This research paper presents a novel approach to predicting the surface roughness of polylactic acid (PLA) specimens manufactured using the additive...
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Modelling Failure Of Polymers: An Optimization Strategy Based on Genetic Algorithms and Instrumented Impact Tests
Modelling the failure of engineering polymers used in critical structural applications is still a challenging task that is increasingly demanded by...
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QoS-aware resource allocation method for the internet of things using triplet and heterogeneous earliest finish time algorithms
Recently, the Internet of Things (IoT) has attracted researchers’ and industries’ attention for changing the way humans live and granting them unique...
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Optimization of Ultra-High and High Manganese Steel Based on Artificial Neural Network and Genetic Algorithm
Five algorithms of Gaussian process regression, artificial neural network (ANN), support vector machine, boosted trees, and genetic algorithm...
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Performance Analysis of Acrylonitrile–Butadiene–Styrene–Polycarbonate Polymer Blend Filament for Fused Deposition Modeling Printing Using Hybrid Artificial Intelligence Algorithms
The performance of ABS-PC polymer filament utilized in 3D printing is highly dependent on blend composition, molecular weight, addition of additives...
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Novel Genetic Algorithm for Simultaneous Scheduling of Two Distinct Steel Production Lines
It is standard practice in the steel industry to create schedules for different production lines in a sequential fashion. However, by the nature of...
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Artificial Intelligence and Machine Learning in Metallurgy. Part 1. Methods and Algorithms
The article contains information about machine learning methods used in modern metallurgy. The description of machine learning methods and their role...
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Using genetic algorithm to optimization thermal buckling of composite plates containing openings
In engineering designs, according to various applications, different types of openings with different dimensions and shapes are created in...
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Optimization of Thickness of YSZ Coating on an Aluminium Piston in I.C. Engines Using a Genetic Algorithm Approach
Huge increase in the demand for better durability and efficiency in engines necessitated the usage of thermal barrier coatings on the piston which...
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Implementation of Machine Learning Algorithms for Weld Quality Prediction and Optimization in Resistance Spot Welding
The manufacturing industry constantly aims to improve product quality while improving production speed and lowering production costs. Resistance spot...
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Application and Comparison Between Exact and Evolutionary Algorithms for Color Recipe Prediction
This paper presents and compares evolutionary algorithms, such as ant colony and genetic algorithms, and exact approaches for color recipe...