Numerical optimization algorithms

This study expands upon an existing one-dimensional model to develop an innovative two-dimensional numerical framework for simulating moisture propagation within wood. Utilizing the finite difference method, this approach offers a more detailed analysis of moisture behavior in wood structures.

15p vithomson 02-07-2024 0 0   Download

This paper presents an extension of the Proportional Topology Optimization (PTO) with virtual elements for multi-material problems with mass and cost constraints. In particular, the linear virtual element method (VEM) is constructed on unstructured polygonal meshes. The linear VEM is desirable in the sense that numerical integration is not explicitly required, significantly reducing the computational effort.

24p dianmotminh02 03-05-2024 2 1   Download

Part 1 book "MATLAB for engineers – Applications in control, electrical engineering, it and robotics" includes content: Implementation of a new quasi optimal controller tuning algorithm for time delay systems; control of distributed parameter systems; engineering methods and software support in the MATLAB and simulink programming environment; numerical inverse laplace transforms for electrical engineering simulation,... and other contents.

229p dianmotminh00 22-04-2024 5 5   Download

Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets. From the relevant literature, a credible database encompassing 242 test specimens was developed, along with six input factors that primarily determine bond strength.

12p visharma 20-10-2023 9 5   Download

In the numerical results, the influence of length to width ratio, imperfection, elastic foundations and temperature increment were evaluated in detail. The optimal results from DE algorithm are shown and compared.

17p viberkshire 09-08-2023 8 4   Download

The study will present a particle swarm optimization (PSO) algorithm-based offloading scheme to address the identified problems. The numerical simulations presented in this paper will indicate that our proposal is more efficient than that of the previous proposal.

6p viannee 02-08-2023 7 4   Download

Part 1 of ebook "Global logistics management" presents the following content: daily planning for three-echelon logistics associated with inventory management under demand deviation; new local search algorithm for vehicle routing problem with simultaneous pickup and delivery; optimal fencing in airline industry with demand leakage; bi-objective berth–crane allocation problem in container terminals; route selection problem in the arctic region for the global logistics industry;...

188p dieptieuung 14-07-2023 8 2   Download

Ebook "Numerical methods and optimization: A consumer guide" makes it possible for the reader to discover how to escape the dictatorship of those particular cases that are simple enough to receive a closed-form solution, and thus gain the ability to solve complex, real-life problems; understand the principles behind recognized algorithms used in state-of-the-art numerical software; learn the advantages and limitations of these algorithms, to facilitate the choice of which pre-existing bricks to assemble for solving a given problem; and acquire methods that allow a critical assessment of num...

485p tukhongthienlac 24-06-2023 8 2   Download

Lecture Convex optimization - Chapter: Numerical linear algebra background. This chapter presents the following content: Matrix structure and algorithm complexity; solving linear equations with factored matrices; LU, Cholesky, LDLT factorization; block elimination and the matrix inversion lemma; solving underdetermined equations.

16p runthenight09 16-05-2023 7 3   Download

(BQ) Ebook Numerical Method for unconstrained optimization and nonlinear equations: Part 2 presents the following content: Stopping, scaling, and testing; Secant methods for systems of nonlinear equations; Secant methods for unconstrained minimization; nonlinear least squares; methods for problems with special structure; Appendix A - A modular system of algorithms for unconstrained minimization and nonlinear equations.

224p runordie6 10-08-2022 18 3   Download

The book aims to be a first introduction to the subject. Specific examples and concrete algorithms precede more abstract topics. Nevertheless, topics covered are developed in some depth, a large number of numerical examples are worked out in detail, and many recent topics are included, most notably interior-point methods. The exercises at the end of each chapter both illustrate the theory and, in some cases, extend it.

420p b1700001 11-02-2022 311 2   Download

In this paper, we consider an explicit method that is strong convergence in an infinite-dimensional Hilbert space and a simple variant of the hybrid steepest-descent method, introduced by Yamada. The strong convergence of this method is proved under some mild conditions. Finally, we give an application for the optimization problem and present some numerical experiments to illustrate the effectiveness of the proposed algorithm.

8p spiritedaway36 28-11-2021 8 1   Download

In this paper, an offloading mechanism is carried out alternately for the proposed support device to optimize the overall energy of the equipment while still satisfying the conditions of latency constrain and computational requirements. The proposed algorithm is validated by the numerical results that show certain advantages of this optimized solution.

5p viaespa2711 31-07-2021 24 4   Download

This paper extends a numerical procedure for limit ananlysis of 3-D structures using node-based smoothed finite element method (NS-FEM) in combination with second-order cone programming (SOCP). The obtained discretization formulation is then cast in a form which involves second-order cone constraints, ensuring that the underlying optimization problem can be solved by highly efficient primaldual interior point algorithm. Furthermore, in the NS-FEM, the system stiffness matrix is computed using the smoothed strains over the smoothing domains associated with nodes.

10p chauchaungayxua12 12-05-2021 10 1   Download

In this paper, an improved version of Differential Evolution algorithm, called iDE, is introduced to solve design optimization problems of composite laminated beams. The beams used in this research are Timoshenko beam models computed based on analytical formula. The iDE is formed by modifying the mutation and the selection step of the original algorithm. Particularly, individuals involved in mutation were chosen by Roulette wheel selection via acceptant stochastic instead of the random selection.

11p cothumenhmong8 04-11-2020 19 1   Download

This paper also considers pricedependent demand and the possibility of higher interest earn rate than interest payable rate. The objective of this study is to determine the optimal decision policies for the retailer which maximizes the total profit. Finally, the numerical examples are solved by using the proposed algorithm to show the validity of the model followed by the sensitivity analysis.

22p toritori 11-05-2020 19 1   Download

In order to improve the energy capture efficiency of a multi-pendulum wave energy converter, a mathematical model of the pendulum structure has been built. The final structure parameters of the pendulum have been obtained by using genetic algorithm based on the numerical simulation results of the pendulum structure optimization.

7p vivalletta2711 11-01-2020 6 0   Download

In this paper, we introduce a hedge-algebras-based methodology in vibration control of structural systems to design fuzzy controllers, referred to as hedge-algebras-based controllers (HACs). In this methodology, vague linguistic terms are not expressed by fuzzy sets, but by inherent order relationships between vague terms existing in a term-domain. Semantically quantifying mappings (SQMs), which preserve semantics-based order relationships in termdomains, are defined in a close relationship with the fuzziness measure and the fuzziness intervals of vague terms.

30p ketaucho 20-11-2019 25 3   Download

The purpose of this paper is to present a new and an alternative differential evolution (ADE) algorithm for solving unconstrained global optimization problems. In the new algorithm, a new directed mutation rule is introduced based on the weighted difference vector between the best and the worst individuals of a particular generation. The mutation rule is combined with the basic mutation strategy through a linear decreasing probability rule. This modification is shown to enhance the local search ability of the basic DE and to increase the convergence rate.

17p kethamoi1 17-11-2019 20 1   Download

In PID controller design, an optimization algorithm is commonly employed to search for the optimal controller parameters. The optimization algorithm is based on a specific performance criterion which is defined by an objective or cost function. To this end, different objective functions have been proposed in the literature to optimize the response of the controlled system. These functions include numerous weighted time and frequency domain variables.

10p kequaidan1 16-11-2019 38 0   Download