A genetic algorithm with local search for solving single-source single-sink nonlinear non-convex minimum cost flow problems.
Behrooz GhasemishabankarehMelih OzlenXiaodong LiKalyanmoy DebPublished in: Soft Comput. (2020)
Keyphrases
- single source
- genetic algorithm
- minimum cost flow
- shortest path problem
- combinatorial optimization
- quadratic program
- shortest path
- bi objective
- simulated annealing
- metaheuristic
- multi source
- search algorithm
- convex optimization
- neural network
- evolutionary algorithm
- dynamic programming
- fitness function
- combinatorial optimization problems
- heuristic methods