A Variable Resolution Virtual Sensor in Social Behaviour Networks
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
Cost-performance optimization of application- and context-aware distributed infrastructures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A hybrid cooperative search algorithm for constrained optimization
Structural and Multidisciplinary Optimization
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A novel evolutionary planning framework (coevolutionary virtual design environment) particularly suited to distributed network-enabled design and manufacturing organizations is presented. The approach utilizes distributed evolutionary agents and mobile agents as principal object-oriented software entities that support a network-efficient evolutionary exploration of planning alternatives in which successive populations systematically select planning alternatives that reduce cost and increase throughput. This paper presents the architecture of the coevolutionary virtual design environment, and examines the network-based performance of the coevolutionary algorithms that execute in this environment. Simulation analysis examines the percentage convergence error and percentage computational advantage comparing the distributed network-based implementation to a centralized network-based implementation. The algorithms and architectures are evaluated in a realistic network setting and analyzed using models of network delays and processing times.