Optimum Topology Problem of Two-Dimensional Structures Using Genetic Algorithm.

Isogeometric Topology Optimization of Continuum Structures using an Evolutionary Algorithm

Topology optimization has been an interesting area of research in recent years.  The main focus of this paper is to use an evolutionary swarm intelligence algorithm to perform Isogeometric Topology optimization of continuum structures.  A two-dimensional plate is analyzed statically and the nodal displacements are calculated.  The nodal displacements using Isogeometric analysis are found to be ...

OPTIMUM DESIGN OF STRUCTURES USING AN IMPROVED FIREFLY ALGORITHM

Nature-inspired search algorithms have proved to be successful in solving real-world optimization problems. Firefly algorithm is a novel meta-heuristic algorithm which simulates the natural behavior of fireflies. In the present study, optimum design of truss structures with both sizing and geometry design variables is carried out using the firefly algorithm. Additionally, to improve the efficie...

Material Characterization of Structures Using Genetic Algorithm Vibetarional Data

A genetic algorithm for the two-dimensional strip-packing problem

The paper presents a genetic algorithm (GA) for the two-dimensional strip-packing problem (SPP) with rectangular shaped pieces. Both the non-guillotinable SPP and the guillotinable SPP can be tackled. The genetic algorithm has been derived from a GA that was proposed earlier for solving the container-loading problem (CLP) with a single container to be loaded. The characteristic features of the ...

A Two-Dimensional Genetic Algorithm for the Ising Problem

The genetic algorithm is a powerful heuristic for the solution of hard combinatorial problems and has been investigated by numer ous authors. Many problems, arising for example in communi. cation networks, possess stro ng two-dimensional characteristics. We describe a genetic algorit hm with a new crossover operator called block-uniform crossover, which exploits the two-dimensional character of...