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Optimizing reactive power dispatch in electrical networks using a hybrid artificial rabbits and gradient-based optimization
The optimal reactive power dispatch (ORPD) problem is a critical factor in maintaining the safe and efficient operation of electric networks. Due to...
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Continuous methods for dynamic optimization of multibody systems with discrete and mixed variables
Considering the manufacturing process and component specifications in engineering, it is of great significance to investigate the optimization...
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Lightworks, a scientific research framework for the design of stiffened composite-panel structures using gradient-based optimization
Efficient structural optimization remains integral in advancing lightweight structures, particularly concerning the mitigation of environmental...
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High-dimensional Bayesian Design Optimization Over Mixed Variables
Bayesian Optimization (BO) has gained considerable popularity as an effective technique for optimizing black-box functions that are expensive to...
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High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
Recently, there has been a growing interest in mixed-categorical metamodels based on Gaussian Process (GP) for Bayesian optimization. In this...
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Bayesian optimization for mixed-variable, multi-objective problems
Optimizing multiple, non-preferential objectives for mixed variable, expensive black-box problems is important in many areas of engineering and...
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Analysis and Optimization of Multistage Mixed Refrigerant Systems Using Generalized Disjunctive Programming
The synthesis and optimization of multistage mixed refrigerant systems is a highly challenging and complex problem. It is computationally expensive,...
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A comparison of mixed-variables Bayesian optimization approaches
Most real optimization problems are defined over a mixed search space where the variables are both discrete and continuous. In engineering...
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An outer approximation bi-level framework for mixed categorical structural optimization problems
In this paper, mixed categorical structural optimization problems are investigated. The aim is to minimize the weight of a truss structure with...
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Stochastic efficient global optimization with high noise variance and mixed design variables
Engineering design and optimization commonly require the minimization of expected value functions with high noise variance and mixed/discrete design...
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Non-probabilistic reliability-based topology optimization for two-material structure based on convex set and bounded field mixed model
This study addresses the inherent uncertainties impacting the manufacturing and application of multi-material structures. Due to limited sample...
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Mixed strain/stress gradient loadings for FFT-based computational homogenization methods
In this article, the Lippmann–Schwinger equation for nonlinear elasticity at small-strains is extended by mixed strain/stress gradient loadings. Such...
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Intelligent biomedical image classification in a big data architecture using metaheuristic optimization and gradient approximation
Medical imaging has experienced significant development in contemporary medicine and can now record a variety of biomedical pictures from patients to...
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Learning sparse nonlinear dynamics via mixed-integer optimization
Discovering governing equations of complex dynamical systems directly from data is a central problem in scientific machine learning. In recent years,...
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Optimization of Axially Compressed Rods with Mixed Boundary Conditions
The optimization problem for a column with arbitrary clamped ends, loaded by compression forces is studied in this chapter. The closed-form solutions...
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Auxiliary Model-based Continuous Mixed p-norm Algorithm for Output-error Moving Average Systems Using the Multi-innovation Optimization
This paper discusses the parameter estimation problems for the output-error moving average (OEMA) systems under stochastic environments. The...
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A review of flexible multibody dynamics for gradient-based design optimization
Design optimization of flexible multibody dynamics is critical to reducing weight and therefore increasing efficiency and lowering costs of...
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Hybrid Gradient Descent Golden Eagle Optimization (HGDGEO) Algorithm-Based Efficient Heterogeneous Resource Scheduling for Big Data Processing on Clouds
Resource scheduling is indispensable for enhancing the system performance during big data processing on clouds. It is highly useful for attaining...
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Fundamentals of Numerical Optimization
This chapter summarizes fundamentals of numerical optimization. The material covered here is not supposed to be a systematic and exhaustive...
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Many objective optimization algorithm based on mixed species particle flocking
A methodology inspired by the combined flocking nature of mixed species of birds is proposed in this paper. Mixed species flock with the intention to...
