Meta-heuristic algorithms are problem-solving methods which try to find good-enough
solutions to very hard optimization problems, at a reasonable computation time, where …

Metaheuristics has attained increasing interest for solving complex real-world problems.
This paper studies the principles and the state-of-the-art of metaheuristic methods for …

Quantitative prediction of quality properties (ie extra-functional properties such as
performance, reliability, and cost) of software architectures during design supports a …

Many classical search and optimization algorithms are especially insufficient in solving very
hard large scale nonlinear problems with stringent constraints. Hence, computational …

Quality attributes, such as performance or reliability, are crucial for the success of a software
system and largely influenced by the software architecture. Their quantitative prediction …

The design phase of software development processes is a decisive part of the quality
characteristics of the later software system. If errors are not or only late discovered in early …

Abstract Design decisions for complex, component-based systems impact multiple quality of
service (QoS) properties. Often, means to improve one quality property deteriorate another …

Quantitative prediction of non-functional properties, such as performance, reliability, and
cost, of software architectures supports systematic software engineering. Even though there …

Quantitative prediction of quality criteria (ie extra-functional properties such as performance,
reliability, and cost) of service-oriented architectures supports a systematic software …

Quantitative prediction of non-functional properties, such as performance, reliability, and
costs, of software architectures supports systematic software engineering. Even though there …