Tracking Variable Fitness Landscape in Dynamic Multi-Objective Optimization Using Adaptive Mutation and Crossover Operators.
Ima Okon EssietYanxia SunPublished in: IEEE Access (2020)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- fitness landscape
- crossover operator
- mutation operator
- premature convergence
- adaptive mutation
- differential evolution
- crossover and mutation
- multi objective
- genetic algorithm
- evolutionary computation
- nsga ii
- fitness function
- evolutionary search
- genetic operators
- optimization problems
- mutation rate
- simulated annealing
- genetic programming
- memetic algorithm
- optimization algorithm
- differential evolution algorithm
- evolution strategy
- particle swarm optimization
- particle swarm
- evolutionary strategy
- traveling salesman problem
- population dynamics
- hybrid algorithm
- multi objective evolutionary algorithms
- population size
- feature selection
- optimization method
- convergence speed
- metaheuristic
- particle swarm optimization pso
- evolutionary process
- search space
- neural network