Particle Swarm Optimization Approach with Parameter-Wise Hill-Climbing Heuristic for Task Allocation of Workflow Applications on the Cloud.
Simone A. LudwigPublished in: ICTAI (2013)
Keyphrases
- hill climbing
- particle swarm optimization
- simulated annealing
- inertia weight
- search space
- search algorithm
- pso algorithm
- genetic algorithm ga
- tabu search
- particle swarm optimization pso
- search procedure
- beam search
- search strategy
- heuristic function
- cloud computing
- direct search
- max min
- multi objective
- hill climbing algorithm
- hybrid algorithm
- metaheuristic
- steepest ascent
- genetic algorithm
- branching factor
- systematic search
- convergence speed
- rule learning
- differential evolution
- global optimization
- bayesian network structure learning
- particle swarm optimization algorithm
- coalition formation
- path finding
- multi agent systems
- multi robot
- hill climbing search
- hybrid algorithms
- constraint satisfaction problems
- constraint satisfaction
- branch and bound
- harmony search
- multiagent systems
- greedy search
- cost function
- evolutionary algorithm
- heuristic search
- neural network