A multi-objective differential evolutionary algorithm with angle-based objective space division and parameter adaption for solving sodium gluconate production process and benchmark problems.
Zhan GuoOkan K. ErsoyXuefeng YanPublished in: Swarm Evol. Comput. (2020)
Keyphrases
- evolutionary algorithm
- benchmark problems
- multi objective
- production process
- optimization problems
- simulated annealing
- multiple objectives
- conflicting objectives
- multi objective optimization
- combinatorial optimization
- evolutionary computation
- optimization algorithm
- test problems
- metaheuristic
- differential evolution
- production system
- multi objective evolutionary algorithms
- solution space
- genetic algorithm
- nsga ii
- fitness function
- job shop scheduling problem
- multi objective optimization problems
- genetic programming
- tabu search
- particle swarm optimization
- vehicle routing problem
- production cost
- production planning
- evolution strategy
- optimisation problems
- mutation operator
- solution quality
- crossover operator
- traveling salesman problem
- particle swarm
- production line
- knapsack problem
- search space
- ant colony optimization
- dynamic programming
- lower bound