A fuzzy based branch and bound approach for multi-objective linear fractional (MOLF) optimization problems.
Rubi AryaPitam SinghDeepak BhatiPublished in: J. Comput. Sci. (2018)
Keyphrases
- branch and bound
- multi objective
- optimization problems
- evolutionary algorithm
- linear fractional
- combinatorial optimization
- objective function
- lower bound
- column generation
- simplex method
- optimal solution
- nsga ii
- multi objective optimization
- branch and bound algorithm
- search algorithm
- metaheuristic
- upper bound
- multi objective optimization problems
- search space
- optimization algorithm
- randomly generated problems
- multiple objectives
- tree search
- genetic algorithm
- network design problem
- branch and bound procedure
- branch and bound method
- traveling salesman problem
- simulated annealing
- particle swarm optimization
- max sat
- beam search
- differential evolution
- branch and bound search
- linear programming
- lagrangian heuristic
- cost function
- knapsack problem
- linear program
- mathematical programming
- graphical models
- tree search algorithm
- search tree