This manuscript contains an outline of lectures course"Evolutionary Algorithms"read by the author in Omsk State University n.a. F.M.Dostoevsky. The course covers Canonic Genetic Algorithm and various other genetic algorithms as well as evolutionary strategies, genetic programming, tabu search and the class of evolutionary algorithms in general. Some facts, such as the Rotation Property of cross...

Evolutionary algorithms have been gaining increased attention the past few years because of their versatility and are being successfully applied in several diierent elds of study. We group under this heading a family of new computing techniques rooted in biological evolution that can be used for solving hard problems. In this chapter we present a survey of genetic algorithms and genetic program...

Evolutionary algorithms (EAs) are stochastic optimization techniques based on the principles of natural evolution. An overview of these techniques is provided here. We describe the general functioning of EAs, and give an outline of the main families into which they be divided. Subsequently, we analyze the different components of an EA, and provide some examples on how these can be instantiated....

Evolutionary algorithms (EAs), which are based on a powerful principle of evolution: survival of the ttest, and which model some natural phenomena: genetic inheritance and Darwinian strife for survival, constitute an interesting category of modern heuristic search. This introductory article presents the main paradigms of evolutionary algorithms (genetic algorithms, evolution strategies, evoluti...

Evolutionary computation is a rapidly growing field during the last decade, althougth his origins can be traced back to the late 1950’s. A subset of evolutionary computation are evolutionary algorithms (EA). This paper suplies a brief survey of their earlier beginnings, design and different implementations like genetic algorithms(GA), evolutionary strategies(ES) and evolutionary programming(EP)...

using new approaches to optimize the process of power transmission line routing can solve many complex problems which power transmission line routing decision-makers are faced. due to the expansion of involved parameters we can consider multi-objective evolutionary algorithms as appropriate method in this area. in this thesis with using multi-objective evolutionary algorithms nsga-ii and offere...