Solving nonlinear optimization problems subjected to fuzzy relation equation constraints with max-average composition using a modified genetic algorithm.
Esmaile KhorramReza HassanzadehPublished in: Comput. Ind. Eng. (2008)
Keyphrases
- solving nonlinear
- optimization problems
- equality constraints
- genetic algorithm
- fuzzy relations
- nonlinear equations
- constrained optimization problems
- evolutionary algorithm
- nonlinear programming
- augmented lagrangian
- metaheuristic
- constrained optimization
- artificial bee colony algorithm
- fuzzy sets
- linear constraints
- multi objective
- fitness function
- neural network
- linear programming problems
- crossover operator
- traveling salesman problem
- penalty function
- nsga ii
- numerical solution
- optimization method
- particle swarm optimization
- objective function
- hybrid algorithm
- lagrange multipliers
- fuzzy neural network
- combinatorial optimization
- input output
- ant colony optimization
- image processing
- simulated annealing
- rough sets