Add to ORKGWe present a genetic algorithm software project that serves to give students direct experience with choosing among multiple potentially applicable design patterns. This project has been carefully constructed to illustrate the power of design patterns in supporting encapsulation while at the same time providing a single context in which to compare and contrast similar design pattern alternatives.
Genetic algorithms are a powerful tool for solving search and optimization problems. We examine the ...
Genetic programming (GP) is an automated method for creating a working computer program from a high-...
This paper explores the feasibility of applying genetic programming (GP) to multicategory pattern cl...
Genetic algorithms are known as common and robust optimization concept. One of their main disadvanta...
This work is part of a three year PhD project to examine how Software Visualization(SV) can be appli...
Abstract: This chapter describes an application of genetic engineering-based genetic algorithms as a...
Software architecture design is a complex task, requiring handling and balancing multiple tradeoffs....
This paper outlines a framework for applying a genetic algorithm to the selection of component varia...
Design patterns have been proposed as a technique to introduce reuse in design phase. In industry, i...
This book provides a unified framework that describes how genetic learning can be used to design pat...
In the intersection of pattern recognition, machine learning, and evolutionary computation is a new ...
Abstract--Design patterns are widely used to make the process of development easier as they greatly ...
The chapter covers two main areas, these being an introduction to the technology and techniques asso...
The highly competitive and rapidly changing global business environment requires companies to delive...
This paper introduces a modification to genetic algorithms which provides computational support to c...
Genetic algorithms are a powerful tool for solving search and optimization problems. We examine the ...
Genetic programming (GP) is an automated method for creating a working computer program from a high-...
This paper explores the feasibility of applying genetic programming (GP) to multicategory pattern cl...
Genetic algorithms are known as common and robust optimization concept. One of their main disadvanta...
This work is part of a three year PhD project to examine how Software Visualization(SV) can be appli...
Abstract: This chapter describes an application of genetic engineering-based genetic algorithms as a...
Software architecture design is a complex task, requiring handling and balancing multiple tradeoffs....
This paper outlines a framework for applying a genetic algorithm to the selection of component varia...
Design patterns have been proposed as a technique to introduce reuse in design phase. In industry, i...
This book provides a unified framework that describes how genetic learning can be used to design pat...
In the intersection of pattern recognition, machine learning, and evolutionary computation is a new ...
Abstract--Design patterns are widely used to make the process of development easier as they greatly ...
The chapter covers two main areas, these being an introduction to the technology and techniques asso...
The highly competitive and rapidly changing global business environment requires companies to delive...
This paper introduces a modification to genetic algorithms which provides computational support to c...
Genetic algorithms are a powerful tool for solving search and optimization problems. We examine the ...
Genetic programming (GP) is an automated method for creating a working computer program from a high-...
This paper explores the feasibility of applying genetic programming (GP) to multicategory pattern cl...