COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems.
Jesús L. Llano GarcíaRaúl MonroyVíctor Adrián Sosa-HernándezCarlos A. Coello CoelloPublished in: Swarm Evol. Comput. (2021)
Keyphrases
- evolutionary algorithm
- constrained multi objective optimization problems
- evolutionary computation
- multi objective
- nsga ii
- optimization problems
- crossover operator
- multi objective optimization
- genetic algorithm
- fitness function
- differential evolution
- genetic programming
- mutation operator
- function optimization
- multiresolution
- search heuristics
- genetic operators
- simulated annealing
- hybrid evolutionary algorithm
- quantum evolutionary algorithm
- population diversity
- computational efficiency
- solving problems
- selection operator
- constrained optimization problems
- artificial neural networks
- evolutionary strategy
- evolutionary process
- particle swarm optimization
- learning problems
- combinatorial optimization
- computationally efficient