Optimization Methods Using Genetic Algorithms and Their Applications in Initial Design Stage

Constrained genetic algorithms and their applications in nonlinear constrained optimization

This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not necessarily di erentiable and continuous. The framework is based on the rst-order necessary and su cient conditions in the theory of discrete constrained optimization using Lagrange multipliers. It implements the search ...

Instrument design and optimization using genetic algorithms

This article describes the design of highly complex physical instruments by using a canonical genetic algorithm GA . The procedure can be applied to all instrument designs where performance goals can be quantified. It is particularly suited to the optimization of instrument design where local optima in the performance figure of merit are prevalent. Here, a GA is used to evolve the design of the...

Preliminary Aircraft Design Optimization Using Genetic Algorithms

Aircraft design is a highly nonlinear problem and inherently multidisciplinary activity that involves a large number of design variables and different models and tools for various aspects of design. A spreadsheet based genetic algorithm (GA) approach is presented to optimize the preliminary design of an aircraft. A domain independent general purpose genetic algorithm is proposed to implement th...

Pipe Route Design Optimization Using Genetic Algorithms

This paper describes a study of automatic uid pipe route design using Genetic Algorithms (GAs). The pipe route generation process is deened as an optimization problem, based on viewing it as a variant of the Minimal Rectilinear Steiner Tree Problem (MRStT), Gib84], Jul93]. GAs were used for the optimization, and gave promising results. Other optimization methods were used for comparison. Result...

Sequential Methods and Their Applications