Satisficing solutions of multi-objective fuzzy optimization problems using genetic algorithm.
Antika ThaparDhaneshwar PandeyS. K. GaurPublished in: Appl. Soft Comput. (2012)
Keyphrases
- multi objective
- evolutionary algorithm
- optimization problems
- genetic algorithm
- multi objective optimization problems
- nsga ii
- multi objective optimization
- conflicting objectives
- genetic operators
- pareto optimal
- engineering design problems
- multiple objectives
- objective function
- optimization algorithm
- multiobjective genetic algorithm
- bi objective
- pareto optimal solutions
- metaheuristic
- benchmark problems
- fuzzy logic
- multiobjective optimization
- multi criteria
- multi objective evolutionary algorithms
- initial population
- genetic search
- complex optimization problems
- strength pareto evolutionary algorithm
- simulated annealing
- pareto frontier
- fitness function
- optimal solution
- crossover operator
- evolutionary computation
- fuzzy controller
- particle swarm optimization
- candidate solutions
- simulated annealing and tabu search
- test problems
- evolutionary optimization
- solution quality
- differential evolution
- optimization criteria
- multiobjective evolutionary algorithm
- linear programming problems
- fuzzy sets
- mutation operator
- knapsack problem
- pareto optimal set
- fuzzy rules
- genetic programming
- solution space
- fuzzy clustering
- multi objective problems
- neural network
- feasible solution
- tabu search
- optimum design
- cost function
- fuzzy numbers
- traveling salesman problem
- job shop scheduling problem
- genetic algorithm ga
- rough sets