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Solving a Generalized Network Design Problem Using Hybrid Metaheuristics
Metaheuristics have emerged as a practical and highly effective alternative to traditional exact methods in mixed-integer optimization. Their ability...
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Generalized Statistical Distributions
There has been an increased interest in develo** generalized families of distributions by introducing additional shape parameters to a baseline...
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Isogeometric Refinement for Shape Optimization with a Tunable Number of Variables
The classical funicularity concept for shell structures has been extended defining the Relaxed Funicularity (R-Funicularity). A parameter called...
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Guided optimization: a fast model-based nested cost optimization technique for existing product family designs
Cutting production costs is a crucial instrument for companies to increase profitability and remain competitive. However, companies aim to cut costs...
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Classification of Esophageal Cancer Using Ensembled CNN with Generalized Normal Distribution Optimization Model and Support Vector Machine Classifier
Esophageal carcinoma (EC) is aggressive cancer with a high mortality rate, ranking sixth in the world. The global prevalence of esophageal cancer is...
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Generalized Harmonic State Estimation: An Approach Considering Measurement and Parameter Errors
Harmonic state estimation (HSE) is an useful technique for determining harmonic voltages and currents in electric power systems based on synchronized...
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An Improved Golden Jackal Optimization Algorithm Based on Multi-strategy Mixing for Solving Engineering Optimization Problems
Nowadays, optimization techniques are required in various engineering domains to find optimal solutions for complex problems. As a result, there is a...
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Optimization for Buckling of Conservative Systems of Second Kind
In this Chapter the authors investigate the optimization problem for conservative systems of the second kind. The known example of a conservative...
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A novel hybrid pelican-particle swarm optimization algorithm (HPPSO) for global optimization problem
Particle Swarm Optimization (PSO) has drawn attention due to its widespread use in scientific and engineering fields. However, it suffers from a...
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MQ quasi-interpolation-based level set method for structural topology optimization
Parametric level set method (PLSM) using interpolation method, such as radial basis function (RBF) interpolation, exposes high computational cost and...
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Generalized Multiple Delay-dependent H∞, Functional Observer Design for Nonlinear System
Functional observers are the major alternative to many practical estimation problems where full-order observers cannot be used. This paper introduces...
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Multi-population particle swarm optimization algorithm for automatic design of steel frames
Steel structures are widely used; however, their traditional design method is a trial-and-error procedure which is neither efficient nor cost...
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Hyper-Elastic Characterization of Polydimethylsiloxane by Optimization Algorithms and Finite Element Methods
This study explores the mechanical properties of incompressible isotropic material polydimethylsiloxane (PDMS) using hyper-elastic constitutive...
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Efficient buckling constrained topology optimization using reduced order modeling
We present an efficient computational approach to continuum topology optimization with linearized buckling constraints, using Reduced Order Models...
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An improved hybrid salp swarm optimization and African vulture optimization algorithm for global optimization problems and its applications in stock market prediction
Optimization is necessary for solving and improving the solution of various complex problems. Every meta-heuristic algorithm can have a weak point,...
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Statistical Inferences for Multivariate Generalized Gamma Regression Model
Generalized gamma (GG) distribution serves as a widely applied statistical tool, particularly suitable for scenarios where data distribution skews...
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Kernel Generalized Half-Quadratic Correntropy Conjugate Gradient Algorithm for Online Prediction of Chaotic Time Series
Kernel adaptive filter armed with information theoretic learning has gained popularity in the domain of time series online prediction. In particular,...
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An Efficient Algorithm for Solving the Fractional Hepatitis B Treatment Model Using Generalized Bessel Polynomial
Hepatitis B is the most common serious liver infection in the world. The cause of this infection is hepatitis B virus (HBV) that attacks liver cells...
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Dam** optimization of viscoelastic thin structures, application and analysis
In this work, dam** properties of bending viscoelastic thin structures are enhanced by topology optimization. Homogeneous linear viscoelastic...
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An Overview of Flexible and Generalized Uncertainty Optimization
This chapter, some of whose ideas we have taken from [1–3], develops flexible and generalized uncertainty optimization where the salient feature of...