A survey on search-based model-driven engineering
Abstract Model-driven engineering (MDE) and search-based software engineering (SBSE)
are both relevant approaches to software engineering. MDE aims to raise the level of …
are both relevant approaches to software engineering. MDE aims to raise the level of …
A graph-based framework for model-driven optimization facilitating impact analysis of mutation operator properties
Optimization problems in software engineering typically deal with structures as they occur in
the design and maintenance of software systems. In model-driven optimization (MDO) …
the design and maintenance of software systems. In model-driven optimization (MDO) …
MDEOptimiser: A search based model engineering tool
Model Driven Engineering (MDE) is a methodology that aims to simplify the process of
designing complex systems, by using models as an abstract representation of the underlying …
designing complex systems, by using models as an abstract representation of the underlying …
[PDF][PDF] Searching for Optimal Models: Comparing Two Encoding Approaches.
Abstract Search-Based Software Engineering (SBSE) is about solving software development
problems by formulating them as optimization problems. In the last years, combining SBSE …
problems by formulating them as optimization problems. In the last years, combining SBSE …
Towards model-based optimisation: Using domain knowledge explicitly
S Zschaler, L Mandow - … Workshops: DataMod, GCM, HOFM, MELO, SEMS …, 2016 - Springer
Search-based software engineering (SBSE) treats software-design problems as search and
optimisation problems addressing them by applying automated search and optimisation …
optimisation problems addressing them by applying automated search and optimisation …
A generic construction for crossovers of graph-like structures and its realization in the eclipse modeling framework
In model-driven optimization (MDO), domain-specific models are used to define and solve
optimization problems via meta-heuristic search, often via evolutionary algorithms. Models …
optimization problems via meta-heuristic search, often via evolutionary algorithms. Models …
Towards a configurable crossover operator for model-driven optimization
In evolutionary algorithms, mutation and crossover are used to explore a search space for
solutions. For the model-based approach to model-driven optimization, where models are …
solutions. For the model-based approach to model-driven optimization, where models are …
Search-based model optimization using model transformations
Abstract Design-Space Exploration (DSE) and optimization look for a suitable and optimal
candidate solution to a problem, with respect to a set of quality criteria, by searching through …
candidate solution to a problem, with respect to a set of quality criteria, by searching through …
A multiplicity-preserving crossover operator on graphs
H Thölke, J Kosiol - Proceedings of the 25th International Conference on …, 2022 - dl.acm.org
Evolutionary algorithms usually explore a search space of solutions by means of crossover
and mutation. While a mutation consists of a small, local modification of a solution, crossover …
and mutation. While a mutation consists of a small, local modification of a solution, crossover …
[PDF][PDF] A contract-based approach for multi-viewpoint consistency in the concurrent design of cyber-physical systems
K Vanherpen - 2018 - repository.uantwerpen.be
The exponential rate at which Cyber-Physical Systems evolve, while getting increasingly
complex, poses new challenges in terms of their design. Already, engineers practice a …
complex, poses new challenges in terms of their design. Already, engineers practice a …