Search space-based multi-objective optimization evolutionary algorithm.
Darshan Vishwasrao MedhaneArun Kumar SangaiahPublished in: Comput. Electr. Eng. (2017)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- search space
- multi objective
- fitness function
- fitness landscape
- optimization problems
- evolutionary computation
- multi objective optimization problems
- differential evolution
- hybrid evolutionary algorithm
- pareto optimal
- search algorithm
- genetic algorithm
- nsga ii
- metaheuristic
- genetic programming
- simulated annealing
- genetic operators
- multiple objectives
- branch and bound
- function optimization
- particle swarm
- evolution strategy
- genetic algorithm ga
- bi objective
- evolutionary strategy
- solution space
- mutation operator
- constraint satisfaction problems
- optimization method
- optimization algorithm
- multi objective genetic algorithms
- crossover and mutation
- pareto dominance
- multi objective genetic algorithm
- constrained multi objective optimization problems
- initial population
- optimal solution
- constrained optimization problems
- multi objective evolutionary algorithms
- multi objective problems
- simulation model
- pareto optimal set
- np hard