A combined approximate dynamic programming & simulated annealing optimization method to address community-level food security in the aftermath of disasters.
Saeed NozhatiYugandhar SarkaleBruce R. EllingwoodEdwin K. P. ChongHussam MahmoudPublished in: CoRR (2018)
Keyphrases
- optimization method
- simulated annealing
- approximate dynamic programming
- optimization methods
- global optimum
- metaheuristic
- evolutionary algorithm
- genetic algorithm
- optimization process
- optimization algorithm
- simulated annealing algorithm
- particle swarm
- optimization procedure
- tabu search
- linear program
- nonlinear optimization
- dynamic programming
- genetic algorithm ga
- differential evolution
- hybrid algorithm
- step size
- reinforcement learning
- particle swarm optimization pso
- linear programming
- machine learning
- closed form
- neural network
- multi objective
- special case
- multiresolution
- lower bound