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Computational Intelligence in Optimization Problems
In this chapter, some basic concepts in optimization are presented, focusing on the use of stochastic methods, of global search, in the context of...
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Performance optimization of generator in steam turbine power plants using computational intelligence techniques
A generator is the crucial subsystem of steam turbine power plants. Its configuration is very complex, as it is assembled using seven different...
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Review of Computational Approaches to Optimization Problems in Inhomogeneous Rods and Plates
In this paper, we review computational approaches to optimization problems of inhomogeneous rods and plates. We consider both the optimization of...
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Computational analysis of expectile and deviation expectile portfolio optimization models
Expectile has recently gained an admiration in the area of portfolio optimization (PO) mainly because of its unique property of being both coherent...
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Computational Design and Fabrication Strategy for Topology Optimization of Spiral Staircase Using Metal Wire Arc Additive Manufacturing
The study presents the integration of Topology Optimization (TO) as a design strategy and Wire Arc Additive Manufacturing (WAAM) as a fabrication...
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Computational advances in polynomial optimization: RAPOSa, a freely available global solver
In this paper we introduce
RAPOSa , a global optimization solver specifically designed for (continuous) polynomial programming problems with...
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Computational aspects of column generation for nonlinear and conic optimization: classical and linearized schemes
Solving large scale nonlinear optimization problems requires either significant computing resources or the development of specialized algorithms. For...
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Computational Bar Size Optimization of Single Layer Dome Structures Considering Axial Stress and Shape Disturbance
A computational method is proposed in this paper to minimize the material usage in the construction of modern spatial frame structures by...
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Mathematical Modeling and Computational Aspects of Multi-Criteria Optimization of the Conditions of a Laboratory Catalytic Reaction
AbstractBased on a previously developed kinetic model of a catalytic reaction of synthesis of benzyl alkyl ethers, two- and three-criteria...
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Computational Experimentation
In this chapter, we provide an overview of fundamental issues pertaining to performing computational experimentsComputational experiments in...
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A new computational framework for log-concave density estimation
In statistics, log-concave density estimation is a central problem within the field of nonparametric inference under shape constraints. Despite great...
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Discrete multi-load truss sizing optimization: model analysis and computational experiments
Discrete multi-load truss sizing optimization (MTSO) problems are challenging to solve due to their combinatorial, nonlinear, and non-convex nature....
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Choice of Approximation Bases Used in Computational Functional Algorithms for Approximating Probability Densities on the Basis of Given Sample
AbstractIn this paper we formulate requirements for choosing approximation bases when constructing cost-effective optimized computational (numerical)...
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Computational Optimal Transport
The optimal transport (OT) problem is a classical optimization problem having the form of linear programming. Machine learning applications put...
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High-Dimensional Optimization Set Exploration in the Non-Asymptotic Regime
This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematics including computer...
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Efficient gradient-based optimization for reconstructing binary images in applications to electrical impedance tomography
A novel and highly efficient computational framework for reconstructing binary-type images suitable for models of various complexity seen in diverse...
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A cooperative approach to efficient global optimization
The efficient global optimization (EGO) algorithm is widely used for solving expensive optimization problems, but it has been frequently criticized...
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A Multifidelity Monte Carlo Method for Realistic Computational Budgets
A method for the multifidelity Monte Carlo (MFMC) estimation of statistical quantities is proposed which is applicable to computational budgets of...
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On polling directions for randomized direct-search approaches: application to beam angle optimization in intensity-modulated proton therapy
Deterministic direct-search methods have been successfully used to address real-world challenging optimization problems, including the beam angle...
