THESIS 6283Genetic algorithms are optimisation algorithms that mimic the mechanisms of natural selection. This thesis is concerned with the theoretical development of genetic algorithms and with their successful application to civil engineering optimisation problems. This thesis can be subdivided into two sections. The first deals with the theoretical behaviour of genetic algorithms and the second deals with their application to civil engineering optimisation. The existing basis of the genetic algorithm rests on the schema theorem and the building-block hypothesis. Theoretical work presented in this thesis develops the schema theorem to include the effects of crossover and proves the building-block hypothesis. The new theoretical work prese...
Nowadays genetic algorithm (GA) is greatly used in engineering pedagogy as adaptive technology to le...
A genetic algorithm for optimal location of bridge pillars is introduced. Instead of encoding in the...
This paper deals with the optimisation of engineering problems using genetic algorithms. The process...
A carefully selected group of optimization problems is addressed to advocate application of genetic ...
The chapter covers two main areas, these being an introduction to the technology and techniques asso...
This timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with...
Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based on Char...
To evolutionary-computation researches, the mechanisms of evolution come to be solutions for the mos...
. This paper discusses the application of a new genetic search approach called the Structured Geneti...
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - al...
Parameter optimization can be achieved by many methods such as Monte-Carlo, full, and fractional fa...
This study introduces GP into civil engineering problem solving as a search and optimization method,...
Genetic algorithms (GA) have several important features that predestine them to solve design problem...
Abstract: This paper covers the basic types of optimization, general introduction to genetic algorit...
Decision making features occur in all fields of human activities such as science and technological a...
Nowadays genetic algorithm (GA) is greatly used in engineering pedagogy as adaptive technology to le...
A genetic algorithm for optimal location of bridge pillars is introduced. Instead of encoding in the...
This paper deals with the optimisation of engineering problems using genetic algorithms. The process...
A carefully selected group of optimization problems is addressed to advocate application of genetic ...
The chapter covers two main areas, these being an introduction to the technology and techniques asso...
This timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with...
Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based on Char...
To evolutionary-computation researches, the mechanisms of evolution come to be solutions for the mos...
. This paper discusses the application of a new genetic search approach called the Structured Geneti...
Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - al...
Parameter optimization can be achieved by many methods such as Monte-Carlo, full, and fractional fa...
This study introduces GP into civil engineering problem solving as a search and optimization method,...
Genetic algorithms (GA) have several important features that predestine them to solve design problem...
Abstract: This paper covers the basic types of optimization, general introduction to genetic algorit...
Decision making features occur in all fields of human activities such as science and technological a...
Nowadays genetic algorithm (GA) is greatly used in engineering pedagogy as adaptive technology to le...
A genetic algorithm for optimal location of bridge pillars is introduced. Instead of encoding in the...
This paper deals with the optimisation of engineering problems using genetic algorithms. The process...