An asynchronous parallel evolutionary algorithm (APEA) for solving complex non-linear real world optimization problems.
Pu LiuLishan KangHugo de GarisYuping ChenPublished in: Neural Parallel Sci. Comput. (2002)
Keyphrases
- evolutionary algorithm
- solving complex
- optimization problems
- evolutionary strategy
- problems involving
- real world
- multi objective
- evolutionary computation
- differential evolution
- multi objective optimization
- fitness function
- simulated annealing
- metaheuristic
- genetic algorithm
- genetic programming
- combinatorial optimization problems
- test problems
- asynchronous cellular automata
- benchmark problems
- knapsack problem
- crossover operator
- combinatorial optimization
- traveling salesman problem
- intelligent optimization
- optimization methods
- nsga ii
- mutation operator
- evolution strategy
- convergence speed
- fuzzy systems
- particle swarm optimization pso
- function optimization
- image sequences
- artificial intelligence