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Combined evolutionary method of feasible directions in multicriteria synthesis problem of a dynamical system program control

V.A. Serov
2021 Procedia Computer Science  
The paper considers the evolutionary synthesis method of multi-criteria program control for dynamic systems.  ...  Abstract The paper considers the evolutionary synthesis method of multi-criteria program control for dynamic systems.  ...  The analysis of evolutionary algorithms and classical algorithms of nonlinear programming allows us to conclude that an effective computational technology for solving optimal control problems should be  ... 
doi:10.1016/j.procs.2021.04.123 fatcat:e6gwhzbdhfeefivrkuazqgx234

Evrimsel Yapı Optimizasyonuna Genel Bir Bakış

Fatih Mehmet ÖZKAL, Habib UYSAL
2009 Pamukkale University Journal of Engineering Sciences  
In more recent works, it is more convenient to use a reliable finite element package program for structural analysis (Uysal et al., 2004) .  ...  Loads and boundary conditions are applied and a stress analysis is carried out using a finite element program.  ... 
doaj:af189b66117e47ba90da67234a3e0e86 fatcat:lipsgskr4natxpszk6he5dyvve

Application of finite-element-based solution technologies for viscoplastic structural analyses

Vinod K. Arya
1991 Communications in Applied Numerical Methods  
LL SUMMARY Finite-element solution technology developed for use in conjunction with advanced viscoplastic models is described.  ...  The development of such solution technology is necessary for performing stress/life analyses of engineering structural problems where the complex geometries and loadings make the conventional analytical  ...  FINITE-ELEMENT SOLUTION TECHNOLOGY The finite-element arjalyses for the uniaxial and multiaxial problems were performed by using the finite-element program MARC (ref. 4).  ... 
doi:10.1002/cnm.1630070604 fatcat:6rigs3drcbd7fpozx3qwfmce4i

Finite State Machine Synthesis for Evolutionary Hardware [article]

Andrey Bereza, Maksim Lyashov, Luis Blanco
2013 arXiv   pre-print
This article considers application of genetic algorithms for finite machine synthesis.  ...  This makes it possible to use hardware-oriented genetic finite machines synthesis algorithm in autonomous systems on reconfigurable platforms.  ...  Current methods of finite state machine synthesis always use the specifics of a problem, which makes it impossible to use that same state machine generation technic for any different kind of problem.  ... 
arXiv:1307.6995v2 fatcat:k4afinrtqnehnbi2e67p2thmxe

A simple evolutionary procedure for structural optimization

Y.M. Xie, G.P. Steven
1993 Computers & structures  
A simple evolutionary procedure is proposed for shape and layout optimization of structures. During the evolution process low stressed material is progressively eliminated from the structure.  ...  Traditionally solutions to structural optimization problems have been sought by using various mathematical programming techniques.  ...  A SIMPLE EVOLUTIONARY PROCEDURE After finite element analysis the stress distribution throughout the structure is found. Often it happens that part of the material is not effectively used.  ... 
doi:10.1016/0045-7949(93)90035-c fatcat:6s4lilspnvfdpp5p3nj5mc7ow4

Large scale structural optimization: Computational methods and optimization algorithms

M. Papadrakakis, N. D. Lagaros, Y. Tsompanakis, V. Plevris
2001 Archives of Computational Methods in Engineering  
The objective of this paper is to investigate the efficiency of various optimization methods based on mathematical programming and evolutionary algorithms for solving structural optimization problems under  ...  Advanced domain decomposition techniques particularly tailored for parallel solution of large-scale sensitivity analysis problems are also implemented.  ...  Several global preconditioners have been used in the past for solving finite element linear problems [56] .  ... 
doi:10.1007/bf02736645 fatcat:tg6fs3qu2fdfjgqgix3qcnzizy

Biology-Derived Algorithms in Engineering Optimization [article]

Xin-She Yang
2010 arXiv   pre-print
It is well known that inverse problems are usually very difficult, and this is especially true for finite element inverse analysis.  ...  However, a substantial amount of computations today are still using conventional methods such as finite difference, finite element, and finite volume methods.  ... 
arXiv:1003.1888v1 fatcat:yvphxkgylvduhohmn2ikwryytq


2019 Bulletin of the Australian Mathematical Society  
By using the canonical dual finite element method, a new primal-dual semidefinite programming algorithm is presented, which can be used to obtain all possible post-buckled solutions.  ...  Based on canonical duality theory, a canonical dual finite element method is applied to find a global minimisation to the general nonconvex optimisation problem using a new primal-dual semidefinite programming  ...  By using the canonical dual finite element method, a new primal-dual semidefinite programming algorithm is presented, which can be used to obtain all possible post-buckled solutions.  ... 
doi:10.1017/s0004972719001205 fatcat:iszu7kbpnvfj5ouvkgk6etxjny

Evolutionary Optimization in an Algorithmic Setting [article]

Mark Burgin, Eugene Eberbach
2006 arXiv   pre-print
Evolutionary processes proved very useful for solving optimization problems.  ...  Three subclasses of evolutionary algorithms are proposed here: bounded finite, unbounded finite and infinite types.  ...  For instance, elements from the optimization space X are fixed binary strings for genetic algorithms (GAs), Finite State Machines for evolutionary programming (EP), parse trees for genetic programming  ... 
arXiv:cs/0611077v1 fatcat:q4nlepgh3vdnjo5ue3zxkj5jdi

A 99 line topology optimization code written in Matlab

O. Sigmund
2001 Structural And Multidisciplinary Optimization  
The 99 lines are divided into 36 lines for the main program, 12 lines for the Optimality Criteria based optimizer, 16 lines for a meshindependency filter and 35 lines for the finite element code.  ...  In fact, excluding comment lines and lines associated with output and finite element analysis, it is shown that only 49 Matlab input lines are required for solving a well-posed topology optimization problem  ...  The author would also like to thank Thomas Buhl, Technical University of Denmark, for his inputs to an earlier version of the code.  ... 
doi:10.1007/s001580050176 fatcat:xuzppuw6j5fstcg7reg2gcftxq

Evolutionary computation in medicine: an overview

Carlos Andrés Peña-Reyes, Moshe Sipper
2000 Artificial Intelligence in Medicine  
The term evolutionary computation encompasses a host of methodologies inspired by natural evolution that are used to solve hard problems.  ...  We begin by outlining the basic workings of six types of evolutionary algorithms: genetic algorithms, genetic programming, evolution strategies, evolutionary programming, classifier systems, and hybrid  ...  Evolutionary programming maintains a population of finite state machines, each one representing a particular candidate behavior for solving the problem at hand.  ... 
doi:10.1016/s0933-3657(99)00047-0 pmid:10767613 fatcat:zz5hgh56zvfzrluxkj2a7krm3a

Evolutionary structural optimisation (ESO) using a bidirectional algorithm

O.M. Querin, G.P. Steven, Y.M. Xie
1998 Engineering computations  
Such analyses can be used to determine design parameter sensitivities for the traditional mathematical programming methods of solving optimisation problems (see Vanderplaats, 1984) ; also a comprehensive  ...  Note that the elements that remain in the domain must have a non-singular finite element solution. (6) Specify the optimisation criterion, for example the Von Mises stress. (7) The driving criterion for  ... 
doi:10.1108/02644409810244129 fatcat:ngy3azow6bdq5mhlui36edum24

Evolutionary level set method for structural topology optimization

Haipeng Jia, H.G. Beom, Yuxin Wang, Song Lin, Bo Liu
2011 Computers & structures  
This paper proposes an evolutionary accelerated computational level set algorithm for structure topology optimization.  ...  The validity and robustness of the new algorithm are supported by some widely used benchmark examples in topology optimization.  ...  The equation can be solved using finite differential method and the difference points are consistent with nodes used in finite element analysis.  ... 
doi:10.1016/j.compstruc.2010.11.003 fatcat:aamv2wfvencbvdhge53wxwmixq

Using the quaternion's representation of individuals in swarm intelligence and evolutionary computation [article]

Iztok Fister, Iztok Fister Jr
2013 arXiv   pre-print
This paper introduces a novel idea for representation of individuals using quaternions in swarm intelligence and evolutionary algorithms.  ...  We propose the application of quaternions in optimization, more precisely, we have been using quaternions for representation of individuals in Bat algorithm.  ...  For instance, genetic algorithms use binary representation of individuals, evolution strategy and differential evolution real numbers, genetic programming programs in Lisp, and evolutionary programming  ... 
arXiv:1306.2257v1 fatcat:vby4tytw2zf3xoenh3pi3kptia

Evolutionary algorithms in engineering and computer science: Recent advances in genetic algorithms, evolution strategies, evolutionary programming, genetic programming and industrial applications

1999 Computers and Mathematics with Applications  
Automatic synthesis of the topology and sizing for analog electrical circuits using genetic programming (F.H. Benentt III, M.A. Keane, D. Andre and J.R. Koza). II.  ...  Parallel and distributed evolutionary algorithms (M. Tomassini). 8. Evolutionary multi-criterion optimization (K. Deb). 9. ACO algorithms for the Traveling Salesman Problem (Th. Stfitzle and M.  ... 
doi:10.1016/s0898-1221(99)91189-6 fatcat:4f27hdshpbhwvixrc2zb3jhtha
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