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<p>A method is developed for integrating heuristic design knowledge with optimization models to create a tool for the topological design of computer communication networks. Design choices are based on suggestions from optimization models, as well as heuristic knowledge, which interact through a blackboard. A truth maintenance system (TMS) records justification for current design choices, as well as promising alternatives. A dependency-directed backtracking mechanism works with the TMS to choose other alternatives as warranted. This hybrid tool can consider a wider range of design requirements than is possible using one type of knowledge alone, is flexible in handling variations in these requirements, and has a modular structure which facilitates incremental refinement. Computational results on separate networks show it is effective in identifying good low-cost solutions.</p>
topological design; optimization models; communication network design; heuristic design knowledge; computer communication networks; truth maintenance system; TMS; justification; dependency-directed backtracking mechanism; hybrid tool; modular structure; incremental refinement; blackboard; blackboard architecture; CAD; computer networks; decision support systems; knowledge based systems; telecommunications computing; truth maintenance

A. Dutta, "Integrating Heuristic Knowledge and Optimization Models for Communication Network Design," in IEEE Transactions on Knowledge & Data Engineering, vol. 5, no. , pp. 999-1017, 1993.
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