GMA: a high speed metaheuristic algorithmic approach to hardware software partitioning for Low-cost SoCs.
Naman GovilShubhajit Roy ChowdhuryPublished in: RSP (2015)
Keyphrases
- metaheuristic
- hardware software partitioning
- low cost
- high speed
- hardware software
- hw sw
- embedded systems
- design issues
- tabu search
- feature analysis
- simulated annealing
- hardware and software
- ant colony optimization
- scatter search
- search space
- optimization problems
- real time
- genetic algorithm
- optimal solution
- path relinking
- combinatorial optimization
- design space exploration
- particle swarm optimization
- iterated local search
- vehicle routing problem
- multi start
- greedy randomized adaptive search procedure
- benchmark instances
- neural network
- design decisions
- feasible solution
- variable neighborhood search
- routing problem
- traveling salesman problem
- evolutionary algorithm
- case study
- guided local search