Architecture Exploration Based on GA-PSO Optimization, ANN Modeling, and Static Scheduling.
Ahmed ElhossiniShawki AreibiRobert D. DonyPublished in: VLSI Design (2013)
Keyphrases
- genetic algorithm ga
- particle swarm optimization pso
- artificial neural networks
- genetic algorithm
- fitness function
- optimization algorithm
- particle swarm optimisation
- optimization method
- particle swarm optimization
- particle swarm
- global optimization
- parameter optimization
- hybrid algorithm
- hybrid particle swarm optimization
- global search
- evolutionary search
- multi objective
- multiple objectives
- evolution strategy
- premature convergence
- pso algorithm
- scheduling problem
- particle swarm optimization algorithm
- management system
- evolutionary algorithm
- hybrid pso
- hybrid optimization algorithm
- simulated annealing
- using artificial neural networks
- neural network
- differential evolution
- metaheuristic
- evolutionary methods
- fitness values
- bp neural network
- evolutionary computation
- tabu search
- optimization problems
- job shop scheduling problem
- mutation operator
- constrained optimization
- evolutionary strategy
- evolutionary computing
- function optimization
- convergence speed
- multi objective optimization
- resource allocation
- genetic programming
- faster convergence rate