Self-Adaptive Parameter Control in Genetic Algorithms Based on Entropy and Rules of Nature for Combinatorial Optimization Problems.
Shengjie SunHui LuPublished in: SSCI (2019)
Keyphrases
- combinatorial optimization problems
- metaheuristic
- genetic algorithm
- combinatorial optimization
- ant colony optimization
- control parameters
- knapsack problem
- optimization problems
- discrete optimization
- simulated annealing
- fuzzy pid control
- traveling salesman problem
- job shop scheduling
- evolutionary algorithm
- shortest path problem
- information theoretic
- continuous optimization problems
- job shop scheduling problem
- genetic programming
- min cost
- control method
- multi objective
- neural network
- minmax regret
- parameter set
- estimation of distribution algorithms
- rule discovery
- learning classifier systems
- fuzzy logic
- exact algorithms
- learning algorithm
- vehicle routing problem
- search methods
- constraint satisfaction