DocumentCode
1697212
Title
Meta-heuristics: For the problem of partitioning hardware/software
Author
Dimassi, Sonia ; Jemai, Mehdi ; Ouni, Bouraoui ; Mtibaa, Abdellatif
Author_Institution
Nat. Eng. Sch., Monastir Univ. of Monastir, Monsatir, Tunisia
fYear
2015
Firstpage
1
Lastpage
3
Abstract
In recent years, several meta-heuristics have proved their effectiveness in solving combinatorial problems such as hardware / software partitioning. In this paper, we present a synthesis of main meta-heuristics: local search methods and evolutionary algorithms. We offer an analysis of these meta-heuristics by identifying the fundamental ideas guiding the choice of a meta-heuristic in practice.
Keywords
combinatorial mathematics; evolutionary computation; search problems; combinatorial problems; evolutionary algorithms; hardware partitioning; local search methods; metaheuristics; software partitioning; Algorithm design and analysis; Genetic algorithms; Hardware; Operations research; Optimization; Search methods; Software; Meta-heuristics; evolutionary algorithms; hardware / software partitioning; local search methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Applications and Networking (WSWAN), 2015 2nd World Symposium on
Conference_Location
Sousse
Print_ISBN
978-1-4799-8171-7
Type
conf
DOI
10.1109/WSWAN.2015.7210339
Filename
7210339
Link To Document