On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms.
Yohanes Bimo DwiantoHiroaki FukumotoAkira OyamaPublished in: GECCO (2019)
Keyphrases
- evolutionary algorithm
- engineering design
- optimization problems
- constraint handling
- constrained optimization problems
- evolution strategy
- differential evolution
- penalty function
- multi objective
- fitness function
- evolutionary computation
- evolutionary strategy
- genetic algorithm
- artificial intelligence
- conceptual design
- multi objective optimization
- genetic programming
- particle swarm optimization
- simulated annealing
- metaheuristic
- engineering problems
- design process
- objective function
- engineering education
- constrained optimization
- evolutionary optimization
- benchmark problems
- knapsack problem
- crossover operator
- optimization methods
- optimal design
- combinatorial optimization
- convergence speed
- differential evolution algorithm
- particle swarm optimization pso
- optimization method
- test problems
- multiobjective optimization
- premature convergence
- mutation operator