A comparative study of many-objective evolutionary algorithms for the discovery of software architectures
During the design of complex systems, software architects have to deal with a tangle of
abstract artefacts, measures and ideas to discover the most fitting underlying architecture. A …
abstract artefacts, measures and ideas to discover the most fitting underlying architecture. A …
On the performance of multiple objective evolutionary algorithms for software architecture discovery
During the design of complex systems, software architects have to deal with a tangle of
abstract artefacts, measures and ideas to discover the most fitting underlying architecture. A …
abstract artefacts, measures and ideas to discover the most fitting underlying architecture. A …
Interactive multi-objective evolutionary optimization of software architectures
While working on a software specification, designers usually need to evaluate different
architectural alternatives to be sure that quality criteria are met. Even when these quality …
architectural alternatives to be sure that quality criteria are met. Even when these quality …
Performance evaluation of efficient multi-objective evolutionary algorithms for design space exploration of embedded computer systems
Multi-objective evolutionary algorithms (MOEAs) have received increasing interest in
industry because they have proved to be powerful optimizers. Despite the great success …
industry because they have proved to be powerful optimizers. Despite the great success …
Multi-objective software performance optimisation at the architecture level using randomised search rules
Abstract Architecture-based software performance optimisation can help to find potential
performance problems and mitigate their negative effects at an early stage. To automate this …
performance problems and mitigate their negative effects at an early stage. To automate this …
Algorithms for finding maximum diversity of design variables in multi-objective optimization
This paper considers the problem of finding architectures with sufficient multi-objective
Pareto optimality and maximum diversity of their design-variable values. This problem has …
Pareto optimality and maximum diversity of their design-variable values. This problem has …
A survey of many-objective optimisation in search-based software engineering
Search-based software engineering (SBSE) is changing the way traditional software
engineering (SE) activities are carried out by reformulating them as optimisation problems …
engineering (SE) activities are carried out by reformulating them as optimisation problems …
Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: Systematic literature review
Many recent studies have shown that various multi-objective evolutionary algorithms have
been widely applied in the field of search-based software engineering (SBSE) for optimal …
been widely applied in the field of search-based software engineering (SBSE) for optimal …
Problem-specific search operators for metaheuristic software architecture design
R Etemaadi, MTM Emmerich… - Search Based Software …, 2012 - Springer
A large number of quality properties needs to be addressed in nowadays complex software
systems by architects. These quality properties are mostly conflicting and make the problem …
systems by architects. These quality properties are mostly conflicting and make the problem …
Decoding the architectural genome: multi-objective evolutionary algorithms in design
M Makki, D Navarro-Mateu… - Technology …, 2022 - Taylor & Francis
The application of population-based optimization algorithms in design is heavily driven by
the translation and analysis of various data sets that represent a design problem; in …
the translation and analysis of various data sets that represent a design problem; in …