In Web Services designs classical optimization techniques are not applicable. A possible solution to guarantee critical requirements is the use of an autonomic architecture, able to autoconfigure and to auto-tune. This study presents MAWeS (MetaPL/HeSSE Autonomic Web Services), a framework whose aim is to support the development of self-optimizing predictive autonomic systems for Web service ar...

A multi-objective genetic algorithm is developed for the purpose of optimizing the rule-base of a Self-Organising Fuzzy Logic Control algorithm (SOFLC). The tuning of the SOFLC optimization is based on selection of the best shaped performance index for modifying the rulebase on-line. A comparative study is conducted between various methods of multi-objective genetic optimisation using the SOFLC...

the sustainability of the built environment is increasingly coming to the forefront of infrastructure design and maintenance decisions. to address this, development of a new class of more sustainable cement-based materials is needed. fiber reinforced self-consolidating mortar (frscm) was developed by optimizing the micromechanical parameters, which control composite properties in the hardened s...

In this paper, we apply the self-optimizing control ideas to find optimal controlled variables in the regulatory layer. The regulatory layer is designed to facilitate stable operation, to regulate and to keep the operation in the linear operating range. Its performance is here quantified using the state drift criterion and the method is evaluated on two distillation column case studies with one...