This paper presents a solution for the Quality-based Software-Selection and Hardware-Mapping problem using the ACO algorithm. ACO is one of the most successful swarm intelligence algorithms for solving discrete optimization problems. The evaluation results show that the proposed approach generates correct results for all evaluated test cases.
Also, better results in terms of performance and scalability are given in comparison with the ILP and EMFeR approaches.
Congratulations to our team members, Dr. Bahman Zamani, Dr. Kolahdouz Rahimi, Ms. Samaneh HoseinDoost, and Mr. Meysam Karimi for receiving the Most Scalable Solution and Audience awards in Transformation Tool Contest (TTC 2018).