With increasing competition, the engineering industry is in need of optimization of designs
that would lead to minimum cost or weight. Recent developments in Genetic Algorithms …

This chapter focuses on the genetic algorithm (GA) architecture and its application scenario
in real world engineering optimization designs, especially in the domain of structural …

The goal of the research is to develop and implement a methodology for automated design
of structural systems. The major thrust is to include as many of the structural parameters as …

A new approach to optimization design concerning the configurations of structures using
genetic algorithm (GA) with a tournament selection strategy has been proposed. The …

Genetic Algorithm (GA) based optimizers are adaptive search algorithms that combine
principles of population genetics and natural selection. These algorithms have been …

A genetic algorithm (GA) based finite element analysis (FEA) procedure was developed for
size and shape optimization of planar and space trusses. The purposed procedure …

An introduction to GAs and how Gas can be used for optimized design of structural systems
using both continuous and discrete structural elements is presented. The topics discussed …

Crossover is one of the three basic operators in any genetic algorithm (GA). Several
crossover techniques have been proposed and their relative merits are currently under …

A design procedure incorporating a simple genetic algorithm (GA) is developed for discrete
optimization of two-dimensional structures. The objective function considered is the total …

The initial motivation for the development of algorithms inspired by biological principles of
evolution was the design and implementation of robust adaptive systems. Among the most …