Multilayer perceptron for nonlinear programming
Computers and Operations Research
A survey of mutation techniques in genetic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolutionary computation and structural design: A survey of the state-of-the-art
Computers and Structures
A heuristic error-feedback learning algorithm for fuzzy modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Design for adaptation of service-based applications: main issues and requirements
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
SOAdapt: A process reference model for developing adaptable service-based applications
Information and Software Technology
Using a lifecycle model for developing and executing real-time online applications on clouds
ICSOC'11 Proceedings of the 2011 international conference on Service-Oriented Computing
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A crucial challenge for future computing environments is the development and management complexity caused by an increase in mobility and heterogeneity of networked devices. Autonomous, service-oriented computing environments promise to significantly reduce the management overhead and the need for human intervention. Making services autonomous, requires a shift in the design of service life-cycles, away from static, partially human-controlled mechanisms towards self-control principles. In this work, a biologically inspired service life-cycle is proposed. This life-cycle utilizes evolutionary principles for the adaptation and evaluation of services in highly dynamic computing environments. Additionally, approaches for the autonomous service creation are integrated to the bio-inspired service life-cycle in order to rapidly address users' needs on demand, but also to come up with completely new services.