• Towards Multi-objective Optimi...

Result: Towards Multi-objective Optimization of Automatic Design Space Exploration for Computer Architecture through Hyper-heuristic

Title:
Towards Multi-objective Optimization of Automatic Design Space Exploration for Computer Architecture through Hyper-heuristic
Authors:
Mohammad Hunain Latif, Muhammad Ali Ismail
Source:
Engineering, Technology & Applied Science Research. 9:4292-4297
Publisher Information:
Engineering, Technology & Applied Science Research, 2019.
Publication Year:
2019
Subject Terms:
Design for Manufacture and Assembly in Manufacturing, Artificial intelligence, Robot, Heuristic, 02 engineering and technology, Industrial and Manufacturing Engineering, Visual arts, design space exploration, x86 processor, Engineering, Architecture, Mobile robot, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Heuristics, Multi-objective, Multi-Objective Optimization, Mathematical optimization, Hyper-heuristic, Hybrid Optimization, Fixture Design, Computer science, Operating system, Computational Theory and Mathematics, multi-objective optimization, hyper-heuristic, Computer Science, Physical Sciences, Scheduling Problems in Manufacturing Systems, Dynamic Scheduling, Multiobjective Optimization in Evolutionary Algorithms, Scheduling (production processes), Robot learning, FOS: Civil engineering, Mathematics, Art
Document Type:
Academic journal Article<br />Other literature type
ISSN:
1792-8036
2241-4487
DOI:
10.48084/etasr.2738
DOI:
10.5281/zenodo.3249186
DOI:
10.60692/m5n4z-40j28
DOI:
10.5281/zenodo.3249185
DOI:
10.60692/1fsn0-rdd33
Access URL:
http://etasr.com/index.php/ETASR/article/download/2738/pdf
https://www.etasr.com/index.php/ETASR/article/view/2738
Rights:
CC BY
Accession Number:
edsair.doi.dedup.....545a1ff1e911d76d03850e3d52f2e5a5
Database:
OpenAIRE

Further Information

Multi-objective optimization is an NP-hard problem. ADSE (automatic design space exploration) using heuristics has been proved to be an appropriate method in resolving this problem. This paper presents a hyper-heuristic technique to solve the DSE issue in computer architecture. Two algorithms are proposed. A hyper-heuristic layer has been added to the FADSE (framework for automatic design space exploration) and relevant algorithms have been implemented. The benefits of already existing multi-objective algorithms have been joined in order to strengthen the proposed algorithms. The proposed algorithms, namely RRSNS (round-robin scheduling NSGA-II and SPEA2) and RSNS (random scheduling NSGA-II and SPEA2) have been evaluated for the ADSE problem. The results have been compared with NSGA-II and SPEA2 algorithms. Results show that the proposed methodologies give competitive outcomes in comparison with NSGA-II and SPEA2.