Fast fuzzy force-directed/simulated evolution metaheuristic for multiobjective VLSI cell placement

作者：Khan Junaid A; Sait Sadiq M^*

来源：Arabian Journal for Science and Engineering, 2007, 32(2B): 263-280.

• VLSI
• fuzzy logic
• multiobjective optimization
• force directed approach
• simulated evolution
• cell placement
• metaheuristics
• NP-hard
• combinatorial optimization

VLSI standard cell placement is the process of arranging circuit components (modules) on a silicon layout. The cell placement problem is a proven NP hard combinatorial optimization problem. The complexity of this problem increases when multiple optimization objectives are considered simultaneously.
In this paper, a novel technique is presented to address this hard problem, while optimizing multiple objectives. A major difficulty with such multi-objective combinatorial optimization problems is the existence of a very large solution search space, within which is the desired optimal solution. Simulated Evolution (SE) a general iterative heuristic is used to traverse the large search space, while fuzzy logic is resorted to assist in multi-criteria decision making and overcome the imprecise nature of design information at placement stage. New fuzzy aggregation functions are proposed. SE is hybridized with force directed algorithm to speed-up the search. The proposed schemes are compared with previously presented SE based heuristics. The implementations exhibit considerable improvement in terms of both solution quality and runtime.

• 出版日期2007-10
• 单位中国石油大学（北京）