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Abstract
Task allocation during the construction stage of electronic design is complex and challenging. br First, engineers must chart a path between the often conflicting objectives of time and quality. br Second, a huge productivity variance exists across the spectrum of practicing electronic designers. br Properly handling this variance amid those time and quality pressures is a tricky management br problem. br In this thesis, we propose an approach that helps electronic design managers to optimize br task allocation and work load distribution during electronic design using Multiobjective Particle br Swarm Optimization(MOPSO). An algorithm for multiobjective optimization has been proposed to br increase number of nondominated solutions(Pareto Front size), by using inheritance of nondominated br solutions density estimators and modifying density estimation algorithm. The performance of the br proposed algorithm is evaluated on test functions and metrics from literature. The results show that br the proposed algorithm is competitive in converging towards the Pareto front and generates a well br distributed set of nondominated solutions. br The proposed approach helps electronic design managers to avoid juggling many objectives br to develop a design plan. These include minimizing cost, defects, and completion time; and maximizing br worker utilization and customer satisfaction. Many of these objectives are conflicting. For br example, a demand to decrease completion time clashes with a goal to minimize defects. br Title of dissertation: Task allocation tool for Electronic Design Systems br Bassem Rabil, Bachelor of Electrical Engineering, 1998 br Dissertation directed by: Professor Dr. Gamal M. Aly br Dr. Mona A. Fahmy