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Pin-Count and Wire Length Optimization for Electrowetting-on-Dielectric Chips: A Metaheuristics-Based Routing Algorithm

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Abstract

Electrowetting-on-dielectric chips are gaining momentum as efficient alternatives to conventional biochemical laboratories due to their flexibility and low power consumption. In this chapter, we present a novel two-stage metaheuristic algorithm to optimize electrode interconnect routing for pin-constrained chips. The first stage models channel routing as a traveling salesman problem and solves it using the ant colony optimization algorithm. The second stage provides detailed wire routes over a grid model. The algorithm is benchmarked over a set of real-life chip specifications. On average, comparing our results to previous work, we obtain reductions of approximately 39 % and 35 % on pin-count and total wire length, respectively.

Keywords

Travel Salesman Problem Wire Length Channel Path Compatibility Graph Total Wire Length 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computer and Systems EngineeringAin Shams UniversityCairoEgypt

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